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Nonlinear Cooperative Output Regulation With Input Delay Compensation
Open accessAbstract
This article investigates the cooperative output regulation (COR) of nonlinear multiagent systems (MASs) with long input delay based on periodic event-triggered mechanism. Compared with other mechanisms, periodic event-triggered control can automatically guarantee a Zeno-free behavior and avoid the continuous monitoring of triggered conditions. First, a new periodic event-triggered distributed observer, which is based on the fully asynchronous communication data, is proposed to estimate the leader information. Second, a new distributed predictor feedback control method is proposed for the considered nonlinear MASs with input delay. By coordinate transformation, the MASs are mapped into new coupled ordinary differential equations–partial differential equations (ODE-PDE) target systems with some disturbance-like terms. Then, we show that the COR problem is solvable. At last, to further save the communication resource, a periodic event-triggered mechanism is considered in the sensor-to-controller transmission in every agent. A new periodic event-triggered filter is proposed to deal with the periodic event-triggered feedback data. The MASs with input delay are mapped into coupled ODE-PDE target systems with sampled data information. Then, Lyapunov–Krasovskii functions are constructed to demonstrate the exponential stability of the MASs. Simulations verify the validity of the proposed results.
Overview
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Written from the paper’s full text.
TL;DR
The paper proposes periodic event-triggered cooperative output regulation for nonlinear multi-agent systems with long input delay, using a fully asynchronous distributed observer and predictor feedback. Simulations show tracking, delay-mismatch robustness, and reduced transmissions.
Key findings
- A periodic event-triggered adaptive distributed observer estimates leader information from fully asynchronous sampled data; estimation errors converge exponentially under a condition on observer gain and maximum sampling period, \(\kappa T \le M\).
- A distributed predictor feedback controller handles long input delay by mapping the nonlinear MAS into coupled ODE-PDE target systems; with delay mismatch, the regulation error converges to a set around the origin, and without mismatch it converges exponentially to the origin.
- A periodic event-triggered filter in the sensor-to-controller channel further saves communication; simulations report transmission times less than one tenth of sampled-data control with a 10 ms sampling period.
- Simulations with four followers and different delays \(D_1=0.01\)s, \(D_2=0.03\)s, \(D_3=0.15\)s, \(D_4=0.30\)s show outputs tracking the leader; with estimated delay \(0.2\)s versus true \(0.15\)s, errors converge to a small set.
Methods
- Design: nonlinear MAS with one leader and \(N\) followers, directed graph containing a directed spanning tree, leader marginally stable, follower nonlinearity satisfying a Lipschitz/growth condition, and long input delay \(D_i>0\).
- Analysis: periodic event-triggered distributed observer, certainty-equivalence predictor feedback, coordinate transformation to ODE-PDE target systems, and Lyapunov-Krasovskii functions to prove exponential stability or convergence to a residual set.
- Simulation: four followers, parameters \(\kappa_1=\kappa_2=3\), \(K_i=-5\), \(L_i=-5\), asynchronous sampling periods such as \(T_{01}=0.01\)s, \(T_{12}=0.02\)s, \(T_{24}=0.02\)s, \(T_{34}=0.01\)s; tests include no delay mismatch, delay mismatch, different input delays, PETM in sensor-to-controller channel, and external disturbance.
Limitations
- The paper states a drawback: the method needs extra computation for predictor feedback terms compared with passive methods.
- The paper states that delay mismatch causes the output regulation error to converge only to a neighborhood of the origin, determined by the delay mismatch; exact exponential convergence requires no delay mismatch.
- Evident from the text: the main development is for first-order nonlinear systems, with high-order and strict-feedback extensions placed in appendices; the observer requires sufficiently small observer gains and sampling periods satisfying \(\kappa T \le M\), and the controller requires sufficiently small sampling periods and large enough control gains.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 8 cited sources checked · 0 supported · 0 flagged
- Findingreasoning
Given the MASs consisting of the leader (1) and nonlinear followers (3)-(5), the controller in the form of (15) can solve Problem 1.
“Proposition 1.Given the MASs consisting of the leader (1) and nonlinear followers (3)-( 5), the controller in the form of (15) can solve Problem 1.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The real parts of the eigenvalues of the leader system matrix S are zero.
- The authors state this as an assumption: The nonlinear function f_i satisfies |df_i(X_i)/dX_i| ≤ ℓ for a positive constant ℓ.
- The authors state this as an assumption: The input delay D_i is a positive constant, can be different for every follower, and can be any large positive constant.
- Findingown data
Under the transformation (21), the system (3)-(5) with the periodic event-triggered filter (31)-(32) is mapped into the target system (35)-(38).
“Proposition 4.Under the transformation (21), the system (3)-( 5) with the periodic event-triggered filter ( 31)-(32) is mapped into the following target system:”
Quote in the paperSubstantial claim- The authors state this as an assumption: The nonlinear function f_i satisfies |df_i(X_i)/dX_i| ≤ ℓ for a positive constant ℓ.
- The authors state this as an assumption: In Section V, there is no delay mismatch, i.e., D_i = D̂_i.
- Findingnone given
For the MASs (1)-(5) with the distributed observer (6)-(7), there exists a positive constant M such that for any κT ≤ M with κ = max{κ1, κ2} and T = max_{i,j} {Tij}, the estimation errors S̃i = Ŝi - S and ṽi = v̂i - v tend to the origin exponentially.
“Theorem 1.Consider the MASs (1)-( 5) with the distributed observer ( 6)-( 7), there exists a positive constant M such that for any κT ≤ M with κ ≜ max{κ 1 , κ 2 } and T ≜ max i,j∈{1,2,...,N } {T ij }, the estimation errors Si ≜ Ŝi -S and ṽi ≜ vi -v(i = 1, ..., N ) will tend to the origin exponentially.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The real parts of the eigenvalues of the leader system matrix S are zero.
- The authors state this as an assumption: The communication graph G is directed and at least has a directed spanning tree.
- The authors state this as an assumption: Only a small portion of the followers can access the leader; the system matrix S is known only by a small portion of followers.
- The authors state this as an assumption: The network of multi-agent systems is fully asynchronous: agents have various sampling periods and event-triggered time instants.
- Findingreasoning
Under the coordinate transformation (21), the system (3)-(5) is mapped into the target system (22)-(28).
“Proposition 2. Under the coordinate transformation (21), the system (3)-( 5) is mapped into the following target system: X-dynamics:”
Quote in the paperSubstantial claim- The authors state this as an assumption: The nonlinear function f_i satisfies |df_i(X_i)/dX_i| ≤ ℓ for a positive constant ℓ.
- Findingreasoning
There exists a positive constant D* and small enough λj (j=2,3,4) such that for all |D̃_i| ≤ D*, V_i ≤ -a V_i + ε_i(t), where ε_i(t) ∈ E(D̃_i).
“Proposition 3.There exists a positive constant D * and small enough λ j (j = 2, 3, 4) such that for ∀| D i | ≤ D * , Vi ≤ -aV i + ε i (t),(30) where i = 1, 2, ..., N , a > 0 is a constant, ε i (t) ∈ E( D i ).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The nonlinear function f_i satisfies |df_i(X_i)/dX_i| ≤ ℓ for a positive constant ℓ.
- The authors state this as an assumption: The input delay D_i is a positive constant, can be different for every follower, and can be any large positive constant.
- Findingreasoning
Given the MASs with leader (1)-(2) and nonlinear followers (3)-(5), there exists a control law (20) with a distributed observer (6)-(7) and a filter (31)-(32) such that Problem 1 is solvable and the output regulation error |e_i(t)| ∈ E(0).
“Theorem 3. Given the MASs with leader (1)-(2) and nonlinear followers (3)-(5).There exists a control law (20) with a distributed observer (6)-(7) and a filter (31)-(32) such that Problem 1 is solvable and the output regulation error |e i (t)| ∈ E(0).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The real parts of the eigenvalues of the leader system matrix S are zero.
- The authors state this as an assumption: The communication graph G is directed and at least has a directed spanning tree.
- The authors state this as an assumption: Only a small portion of the followers can access the leader; the system matrix S is known only by a small portion of followers.
- The authors state this as an assumption: The nonlinear function f_i satisfies |df_i(X_i)/dX_i| ≤ ℓ for a positive constant ℓ.
- The authors state this as an assumption: The input delay D_i is a positive constant, can be different for every follower, and can be any large positive constant.
- The authors state this as an assumption: The network of multi-agent systems is fully asynchronous: agents have various sampling periods and event-triggered time instants.
- The authors state this as an assumption: In Section V, there is no delay mismatch, i.e., D_i = D̂_i.
- Findingreasoning
∆_i2(x, t) ∈ E(0) for all x ∈ [0, 1].
“From Theorem 1, we can conclude that ∆ i2 (x, t) ∈ E(0) for ∀x ∈ [0, 1].”
Quote in the paperSubstantial claim - Findingnone given
There exist small enough T_i and λ_j (j = 2, ..., 5) such that V_i ≤ -aV_i + ε_i.
“We can see that there exist small enough T i and λ j (j = 2, ..., 5) such that Vi ≤ -aV i + ε i .The proof is completed.”
Quote in the paperNot a substantial claim - Findingown data
When D_i = D̂_i = 0.15 s, the output regulation errors e_i (i = 1, 2, 3, 4) all converge to zero.
“This demonstrates that e i (i = 1, 2, 3, 4) all converge to zero.”
Quote in the paperSubstantial claim - Findingown data
When PETM-B is invoked, the output regulation errors converge to zero exponentially.
“We can see that the output regulation errors also converge to zero exponentially.”
Quote in the paperSubstantial claim - Findingreasoning
V(t0) is bounded.
“Since (43) is a linear system, V does not exhibit finite-time escape on [0, t 0 ).Therefore, V (t 0 ) is bounded.”
Quote in the paperSubstantial claim - Findingown data
In the simulation, the estimation values v_i of the four followers quickly track the true value v.
“We can see that the estimation values vi of the 4 followers quickly track the true value v.”
Quote in the paperSubstantial claim - Findingown data
The transmission times of the proposed method are less than 10% of the sampled data control with a 10 ms sampling period.
“According to the simulation results, the transmission times of the proposed method is less than 10% of the sampled data control with 10ms sampling period.”
Quote in the paperSubstantial claim - Findingown data
When the estimated delay equals the actual delay (D_i = D̂_i = 0.15 s), the outputs of the four followers quickly track the leader's output.
“Fig. 4(a) demonstrates the control performance of the proposed control scheme when the estimated delay is selected as Di = D i = 0.15s.We can see that the outputs of the followers quickly track the output of the leader.”
Quote in the paperSubstantial claim - Findingreasoning
For the high-order nonlinear system (69), there exists a control law (77) with periodic event-triggered adaptive distributed observer (6)-(7) such that Problem 1 is solvable.
“There exists a control law (77) with periodic event-triggered adaptive distributed observer (6)-( 7) such that Problem 1 is solvable.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The nonlinear function f_i(X_i1, X_i2, ..., X_in) in the high-order system (69) satisfies the global Lipschitz condition.
- Findingcitation
ζ_i0(t) ∈ E(0).
“By Theorem 1, we know ζ i0 (t) ∈ E(0). (23) is proved.”
Quote in the paperSubstantial claim - Findingreasoning
For all i = 1, 2, ..., N, ||ṽ_i|| ∈ E(0) if ||S_i|| ∈ E(0).
“We will show for ∀i = 1, 2, ..., N , ||ṽ i || ∈ E(0) if || Si || ∈ E(0).”
Quote in the paperSubstantial claim - Findingown data
When each agent has different input delays (D1 = 0.01 s, D2 = 0.03 s, D3 = 0.15 s, D4 = 0.30 s), the actual outputs of the agents track the leader very well.
“Fig. 5 shows the control performance when all the agents have different input delays.We can see that the actual outputs of the agents can track the leader very well.”
Quote in the paperSubstantial claim - Findingreasoning
For the high-order system, there exists a sufficiently small positive constant D* such that for all |D_i - D̂_i| ≤ D* (i = 1, 2, ..., N), the output regulation error |e_i(t)| ∈ E(D_i).
“Specifically, there exists a sufficiently small positive constant D * such that for ∀| Di -D i | ≤ D * (i = 1, 2, .., N ), the output regulation error |e i (t)| ∈ E( D i ).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The nonlinear function f_i(X_i1, X_i2, ..., X_in) in the high-order system (69) satisfies the global Lipschitz condition.
- Findingown data
When PETM-B is invoked, communication resource has been saved.
“We can see that the communication resource has been saved.”
Quote in the paperNot a substantial claim - Findingown data
For the revised follower models with unknown external disturbance, the output regulation errors of the four followers all converge to the neighborhood of the origin asymptotically.
“It can be seen that the output regulation errors of the four followers can all converge to the neighborhood of the origin asymptotically.”
Quote in the paperSubstantial claim - Findingown data
When a delay mismatch exists (D_i = 0.2 s ≠ D̂_i = 0.15 s), the output regulation errors e_i (i = 1, 2, 3, 4) converge to a small set.
“If we take Di = 0.2s ̸ = D i = 0.15s implying that a delay mismatch exists, the tracking performance of the MASs is illustrated in Fig. 4(b).We can see that e i (i = 1, 2, 3, 4) converge to a small set.”
Quote in the paperSubstantial claim - Interpretationreasoning
The maximally allowable sampling periods Tij can be made large by decreasing the observer gain κ, with a sacrifice of convergence rate.
“This implies that the maximally allowable sampling periods T ij can be made large by decreasing the observer gain κ with a sacrifice of convergence rate.”
Quote in the paperNot a substantial claim - Premisecitation
A long input delay is easy to cause a loss of stability in multi-agent systems.
“A long input delay is easy to cause a loss of stability [17], [18].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17], [18]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
If there exists no delay mismatch, then the output regulation will converge to the origin exponentially.
“If there exists no delay mismatch, then the output regulation will converge to the origin exponentially.”
Quote in the paperSubstantial claim - Interpretationcitation
The proposed method deals with the cooperative output regulation problem for nonlinear multi-agent systems, which is more general than the traditional consensus problem for linear multi-agent systems.
“Our method deals with the COR (cooperative output regulation) problem for nonlinear MASs.This is more general than the traditional consensus problem for linear MASs [23], [24].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23], [24]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The proposed periodic event-triggered adaptive distributed observer can deal with fully asynchronous periodic event-triggered transmission data, where every agent pair has a different sampling period.
“Different from the existing works [14], [28], the proposed distributed observer can deal with fully asynchronous periodic event-triggered transmission data, i.e., every agent pair has a different sampling period.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14], [28]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Under the delay mismatch, practical cooperative output regulation (COR) is achieved.
“Hence, the practical COR is achieved.”
Quote in the paperSubstantial claim - Interpretationnone given
If semiglobal stability of the closed-loop system is considered, the global Lipschitz condition can be removed.
“Moreover, if we consider semiglobal stability of the closed-loop system, the global Lipschitz condition can also be removed.”
Quote in the paperNot a substantial claim - Interpretationown data
The proposed results are effective.
“This indicates that the proposed results are effective.”
Quote in the paperSubstantial claim - Interpretationown data
The proposed periodic event-triggered condition can reduce the transmission times considerably.
“This implies that the proposed periodic event-triggered condition can reduce the transmission times considerably.”
Quote in the paperSubstantial claim - Interpretationnone given
A new predictor feedback controller is proposed to handle the long input delay in the nonlinear MASs.
“Based on fully asynchronous sampled data, a new predictor feedback controller is proposed to handle the long input delay in the nonlinear MASs.”
Quote in the paperSubstantial claim - Interpretationown data
The proposed method can handle more complex nonlinear systems.
“This indicates that the proposed method can handle more complex nonlinear systems, and is robust to external disturbance.”
Quote in the paperSubstantial claim - Interpretationown data
The proposed method is robust to external disturbance.
“This indicates that the proposed method can handle more complex nonlinear systems, and is robust to external disturbance.”
Quote in the paperSubstantial claim
- It may state two separate claims as one. 9
- The quote only partly states this claim. 1
- Probably not a substantial claim. 7
It may state two separate claims as one.
FindingreasoningGiven the MASs with leader (1)-(2) and nonlinear followers (3)-(5), there exists a control law (20) with a distributed observer (6)-(7) such that Problem 1 is solvable; specifically, there exists a sufficiently small positive constant D* such that for all |D_i - D̂_i| ≤ D*, the error |e_i(t)| ∈ E(D_i).
“Theorem 2. Given the MASs with leader (1)-( 2) and nonlinear followers (3)-( 5).There exists a control law (20) with a distributed observer ( 6)-( 7) such that Problem 1 is solvable.Specifically, there exists a sufficiently small positive constant D * such that for ∀| Di -D i | ≤ D * (i = 1, 2, .., N ), the error |e i (t)| ∈ E( D i ).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The real parts of the eigenvalues of the leader system matrix S are zero.
- The authors state this as an assumption: The communication graph G is directed and at least has a directed spanning tree.
- The authors state this as an assumption: Only a small portion of the followers can access the leader; the system matrix S is known only by a small portion of followers.
- The authors state this as an assumption: The nonlinear function f_i satisfies |df_i(X_i)/dX_i| ≤ ℓ for a positive constant ℓ.
- The authors state this as an assumption: The input delay D_i is a positive constant, can be different for every follower, and can be any large positive constant.
The quote only partly states this claim.
Findingnone givenThere exists a positive constant T* and small enough λj (j=2,...,5) such that for all 0 < T_i ≤ T*, V_i ≤ -a V_i + ε_i(t), where ε_i(t) ∈ E(0).
“Proposition 5.There exists a positive constant T * and small enough λ j (j = 2, ..., 5) such that for ∀0 < T i ≤ T * Vi ≤ -aV i + ε i (t),(40) where i = 1, 2, ..., N , a > 0 is a constant, ε i (t) ∈ E(0).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The nonlinear function f_i satisfies |df_i(X_i)/dX_i| ≤ ℓ for a positive constant ℓ.
- The authors state this as an assumption: In Section V, there is no delay mismatch, i.e., D_i = D̂_i.
It may state two separate claims as one.
Findingreasoning∆_i1(x, t), ζ_i1(x, t) ∈ E(0).
“Hence, ∆ i1 (x, t), ζ i1 (x, t) ∈ E(0).(24)-(25) are proved.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingreasoning||ṽ_i|| = ||e^{-St} ṽ_i|| ≤ ||z|| ∈ E(0).
“Then by solving the above inequality, we can show ||ṽ i || = ||e -St ṽi || ≤ ||z|| ∈ E(0).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataIn the simulation, there are a few data transmission times, less than one tenth of the transmission times with 10ms sampling period.
“We can see that there are a few data transmission times.It is less than one tenth of the transmission times with 10ms sampling period.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataIn the simulation, the event-triggered time instants and sampling periods for each agent pair are not the same, indicating that the data are transmitted in a fully asynchronous way.
“Moreover, the event-triggered time instants and sampling periods for each agent pair are not the same.This indicates that the data are transmitted in a fully asynchronous way.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
PremisecitationThe truncated predictor feedback approach can be sensitive to delay mismatch.
“However, as stated in [23], [24] the method could be sensitive to the delay mismatch.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23], [24]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
PremisereasoningThe periodic event-triggered control method can automatically guarantee a Zeno-free behavior and avoid the continuous monitoring of triggered conditions.
“This feature can automatically guarantee a Zeno-free behavior and avoid the continuous monitoring of triggered conditions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13]- [16]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationTransforming systems with long input delay into coupled ODE-PDE systems and using backstepping techniques can tolerate uncertainties both in the delay and system parameters.
“In [23], [24], the authors transformed the systems with long input delay into coupled ODE-PDE (Ordinary Differential Equations-Partial Differential Equations) systems.Then, backstepping techniques were employed to analyze the stability [25], [27].This kind of method can tolerate uncertainties both in the delay and system parameters.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [23], [24]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [25], [27]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
It may state two separate claims as one.
Interpretationnone givenThe proposed control scheme uses periodic event-triggered feedback data through network communication, which can automatically guarantee a Zeno-free behavior and avoid continuous monitoring of triggered conditions.
“The proposed control scheme uses the PET (periodic event-triggered) feedback data through the network communication.This feature can automatically guarantee a Zeno-free behavior and avoid the continuous monitoring of triggered conditions.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationreasoningThe output regulation error under Theorem 2 converges to a set around the origin, and the neighborhood is determined by the delay mismatch D̃_i.
“The above result indicates the output regulation error will converge to a set around the origin.The neighborhood is determined by the delay mismatch D i .”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
InterpretationcitationThe proposed method can be easily extended to high-order or strict-feedback nonlinear systems.
“It is noted that here we only consider first-order nonlinear system, however, the proposed method can be easily extended to high-order or strict-feedback nonlinear systems.Please see Appendix F in [].”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationreasoningPredictor feedback techniques are used to compensate for input delay, indicating the proposed method can handle long input delay in contrast with passive methods.
“Predictor feedback techniques are used to compensate for the input delay.This indicates that our method can handle long input delay in contrast with those passive methods [17], [20].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17], [20]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningThe proposed control scheme can be extended to strict-feedback nonlinear systems.
“Remark 10.By following the same procedures, our proposed control scheme can be extended to strict-feedback nonlinear systems.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The nonlinear function f_i(X_i1, X_i2, ..., X_in) in the high-order system (69) satisfies the global Lipschitz condition.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Interpretationnone givenThe proposed control scheme can be easily extended to more general nonlinear systems, such as strict-feedback nonlinear systems.
“However, the proposed control scheme can be easily extended to more general nonlinear system, such as strict-feedback nonlinear systems.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Interpretationnone givenThe input delay can be arbitrarily long in theory.
“In addition, the input delay can be arbitrary long in theory.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Interpretationnone givenThe sampling periods, input delays, and nonlinear models of each agent can be different from each other.
“Meanwhile, the sampling periods, input delays, and nonlinear models of each agent can be different from each other.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
There exists no prior work on periodic event-triggered cooperative output regulation for nonlinear multi-agent systems with long input delay.
“However, to the best of our knowledge, there exists no work about the periodic event-triggered COR problem for multi-agent systems with long input delay.”
The authors state this as an assumption.
The real parts of the eigenvalues of the leader system matrix S are zero.
“We assume that the real parts of the eigenvalues of the system matrix S are zero.”
The authors state this as an assumption.
The communication graph G is directed and at least has a directed spanning tree.
“G is assumed to be directed and at least have a directed spanning tree.”
The authors state this as an assumption.
Only a small portion of the followers can access the leader; the system matrix S is known only by a small portion of followers.
“S represents the system matrix, which is only known by a small portion of followers.”
“we have assumed that only a small portion of the followers can have access to the leader.”
The authors state this as an assumption.
The nonlinear function f_i satisfies |df_i(X_i)/dX_i| ≤ ℓ for a positive constant ℓ.
“f i (X i ) : R → R is a known smooth nonlinear function satisfying dfi(Xi) dXi ≤ ℓ where ℓ is a positive constant.”
The authors state this as an assumption.
The input delay D_i is a positive constant, can be different for every follower, and can be any large positive constant.
“D i > 0 denotes the long input delay, which is a positive constant, and can be different for every follower.By long delay, we mean that the delay D i can be any large positive constant.”
The authors state this as an assumption.
The network of multi-agent systems is fully asynchronous: agents have various sampling periods and event-triggered time instants.
“Different from [14], [28], the network of MASs is assumed to be fully asynchronous.Namely, agents have various sampling periods and event-triggered time instants (see Fig. 2).”
The authors state this as an assumption.
In Section V, there is no delay mismatch, i.e., D_i = D̂_i.
“For simplicity, it is assumed that there is no delay mismatch, i.e., D i = Di .”
The authors state this as an assumption.
The nonlinear function f_i(X_i1, X_i2, ..., X_in) in the high-order system (69) satisfies the global Lipschitz condition.
“It is assumed that f i (X i1 , X i2 , ..., X in ) satisfies the global Lipschitz condition.”
The paper relies on this without support.
The communication graph of the MASs contains a directed spanning tree.
“Q exists due to the graph of the MASs contains a directed spanning tree.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Figure 4(b) is assigned to both delay conditions
MinorThe simulation text describes Fig. 4(b) as showing the case with delay mismatch, while the figure caption assigns panels (a)-(b) to the case without delay mismatch.
“If we take Di = 0.2s ̸ = D i = 0.15s implying that a delay mismatch exists, the tracking performance of the MASs is illustrated in Fig. 4(b).”
“(a)-(b) Outputs and regulation error of the MASs when there is no delay mismatch; (c)-(d) Outputs and regulation error of the MASs when delay mismatch exists.”
Citations
Cites
Godsil, C., & Royle, G. (2001) · Graduate Texts in Mathematics · doi:10.1007/978-1-4613-0163-9 · Cited by 8,154
Cai, H. G., Lewis, F. L., Hu, G., et al. (2016) · Automatica · doi:10.1016/j.automatica.2016.09.038 · Cited by 462 · cited 2×
“CORhaswideapplications, suchastheformationofmultivehicleandconsensusofmultiplerobot manipulators,etc. Sofar,thereisalotofexcellentworkontheCOR problem,seethepioneeringworksin[5],[6],and[7].”
Consensus of high-order multi-agent systems with large input and communication delays
Zhou, B., & Lin, Z. (2013) · Automatica · doi:10.1016/j.automatica.2013.12.006 · Cited by 310 · cited 1×
“In [21] and [22], a truncated predictor feedback (9) and (33), respectively.”
Universal adaptive control of nonlinear systems with unknown growth rate by output feedback
Hao, L., & Lin, W. T. (2006) · Automatica · doi:10.1016/j.automatica.2006.05.006 · Cited by 308
Periodic Event-Triggered Control for Nonlinear Networked Control Systems
Wang, W., Postoyan, R., Nešić, D., & Heemels, W. P. M. H. (2019) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2019.2914255 · Cited by 209 · cited 1×
“Amongthem,theperiodicevent-triggeredcontrol(PETC)method hasattractedalotofinterest[13],[14],[15],[16].”
Stabilization and Regulation of Nonlinear Systems
Chen, Z., & Huang, J. (2014) · Advanced textbooks in control and signal processing · doi:10.1007/978-3-319-08834-1 · Cited by 192
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“Variouskindsof event-triggeredcontrolstrategies,suchasdynamicevent-triggeredcon-trolandself-triggeredcontrol,havebeenpresented[8],[9],[10],[11], [12].”
Self-citationDelay-Adaptive Control for Nonlinear Systems
Bresch-Pietri, D., & Krstic, M. (2014) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2298711 · Cited by 153 · cited 1×
“A long input delay is easy to cause a loss of stability [17], [18].”
Consensus conditions of continuous-time multi-agent systems with time-delays and measurement noises
Zong, X., Li, T., & Zhang, J. (2018) · Automatica · doi:10.1016/j.automatica.2018.04.002 · Cited by 144 · cited 2×
“For example, in [17], the consensus conditions were presented for MASs with both time delay and measurement noises.”
Leader-Following Consensus for Linear Multiagent Systems via Asynchronous Sampled-Data Control
Liu, W., & Huang, J. (2019) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2019.2948256 · Cited by 120 · cited 3×
“Remark 3: Different from the existing works [14] and [28], the proposed distributed observer can deal with fully asynchronous PET transmission data, i.e., every agent pair has a different sampling period.”
Fixed-Time Stabilization of Linear Delay Systems by Smooth Periodic Delayed Feedback
Zhou, B., Michiels, W., & Chen, J. (2021) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2021.3051262 · Cited by 107 · cited 1×
“In [21] and [22], a truncated predictor feedback (9) and (33), respectively.”
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Delay-robustness of linear predictor feedback without restriction on delay rate
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Output-based dynamic event-triggered consensus control for linear multiagent systems
Koike, R., Endo, T., & Matsuno, F. (2021) · Automatica · doi:10.1016/j.automatica.2021.109863 · Cited by 81 · cited 1×
“Variouskindsof event-triggeredcontrolstrategies,suchasdynamicevent-triggeredcon-trolandself-triggeredcontrol,havebeenpresented[8],[9],[10],[11], [12].”
An Event-Triggered Observer and Its Applications in Cooperative Control of Multiagent Systems
Dong, Y., & Lin, Z. (2021) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2021.3105322 · Cited by 77 · cited 1×
“Recently, the cooperative output regulation (COR) problem of multiagent systems (MASs) has drawn increasing interest [1], [2], [3], [4].”
Stability of predictor-based feedback for nonlinear systems with distributed input delay
Bekiaris-Liberis, N. K., & Krstić, M. (2016) · Automatica · doi:10.1016/j.automatica.2016.04.011 · Cited by 71 · cited 1×
“Then, backstepping techniques were employed to analyze the stability [25], [27].”
Yu, J., Ahn, C. K., & Shi, P. J. (2021) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2021.3089740 · Cited by 62 · cited 1×
“Differentfromother event-triggeredstrategies,theperiodicevent-triggered(PET)method onlyusestheperiodicsampleddatatodesigntheevent-triggeredcondi-tion.”
Self-citationPeriodic event-triggered output regulation for linear multi-agent systems
Zheng, S., Shi, P. J., Agarwal, R. K., & Lim, C. P. (2020) · Automatica · doi:10.1016/j.automatica.2020.109223 · Cited by 59 · cited 2×
“Meanwhile, the presented nonlinear model is quite general and can describe many real phenomena in real practice, such as formation control of a group of unmanned automo-biles or unmanned aerial vehicles, and cooperative control of robot manipulators or servo motor drive systems.”
Self-citationHao, Y., Liu, L., & Feng, G. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3097337 · Cited by 54
Periodic event-triggered output regulation for linear multi-agent systems
Zheng, S.-Q., Shi, P., Agarwal, R., & Lim, C. (2020) · at - Automatisierungstechnik · doi:10.48550/arxiv.2003.03560 · Cited by 54
Self-citationDelay Consensus Margin of First-Order Multiagent Systems With Undirected Graphs and PD Protocols
Ma, D., Chen, J., Lu, R., et al. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2020.3035556 · Cited by 52 · cited 1×
“Ma et al. [20] adopted the frequency-domain method to analyze the delay margin of the MASs.”
Lhachemi, H., Prieur, C., & Shorten, R. N. (2019) · Automatica · doi:10.1016/j.automatica.2019.108551 · Cited by 51
UNIVERSAL OUTPUT FEEDBACK CONTROL OF NONLINEAR SYSTEMS WITH UNKNOWN GROWTH RATE
Hao, L., & Lin, W. T. (2005) · IFAC Proceedings Volumes · doi:10.3182/20050703-6-cz-1902.00835 · Cited by 49
Wang, M., Zhao, C., Xia, J., & Sun, J. Q. (2023) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3245189 · Cited by 43
Event/Self-Triggered Approximate Leader-Follower Consensus With Resilience to Byzantine Adversaries
Zegers, F. M., Deptula, P., Shea, J. M., et al. (2021) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2021.3074849 · Cited by 37
Su, Y., Xu, L., Wang, X., et al. (2019) · Automatica · doi:10.1016/j.automatica.2019.06.008 · Cited by 31 · cited 1×
“CORhaswideapplications, suchastheformationofmultivehicleandconsensusofmultiplerobot manipulators,etc. Sofar,thereisalotofexcellentworkontheCOR problem,seethepioneeringworksin[5],[6],and[7].”
Delay-adaptive control for linear systems with distributed input delays
Zhu, Y., Krstić, M., & Su, H. (2020) · Automatica · doi:10.1016/j.automatica.2020.108902 · Cited by 30 · cited 2×
“Because we cannot obtain an explicit solution to the nonlinear systems, the existing methods [23], [24], [25] for linear MASs cannot be directly extended to our case.”
Periodic Event-Triggered Dynamic Feedback Synchronization Control of Discrete-Time Neural Networks
Ding, S., Wang, Y., & Xie, X. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3131475 · Cited by 27
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Huang, R., Ding, Z., & Cao, Z. (2020) · Automatica · doi:10.1016/j.automatica.2020.109249 · Cited by 21 · cited 5×
“However, as stated in [23] and [24], the method could be sensitive to the delay mismatch.”
InfluentialPeriodic event‐triggered control with multisource disturbances and quantized states
Zhao, M., Zheng, S., Ahn, C. K., et al. (2021) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.5553 · Cited by 20
Self-citationDong, Y., & Xu, S. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2955717 · Cited by 15 · cited 1×
“Recently, the cooperative output regulation (COR) problem of multiagent systems (MASs) has drawn increasing interest [1], [2], [3], [4].”
On Compensating Actuator Delays in Consensus Control Under Undirected Graphs
Huang, R., & Ding, Z. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2020.3035690 · Cited by 14 · cited 5×
“However, as stated in [23] and [24], the method could be sensitive to the delay mismatch.”
InfluentialDu, Z., Xue, H., Ahn, C. K., et al. (2021) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.5768 · Cited by 14
Self-citationConsensus of Multi-agent Systems with Large Input and Communication Delays
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Stability of predictor-based feedback for nonlinear systems with distributed input delay
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Dynamic Periodic Event-Triggered Synchronization of Complex Networks: The Discrete-Time Scenario
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Cited by
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Jiang, X., Jiao, R., Li, B., et al. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3559947 · Cited by 19
“Reference [19] presented a novel FTC fault-tolerant control protocol in light of principles of sliding mode control and adaptive control.”
Self-citationFixed/Preassigned-Time Bipartite Output Regulation of Heterogeneous Multiagent Systems
Zhao, L., Hu, C., Yu, J., et al. (2025) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2025.3628610 · Cited by 5
“Up to now, numerous results for COR problem have been published for linear MASs [16], [17], [18], [19] and nonlinear MASs [20], [21], [22], [23], [24].”
Event-Triggered Adaptive Tracking Control for Multi-Agent Systems With Multiple Uncertainties
Xu, Y., Wan, M.-Y., Wei, C., et al. (2025) · IEEE Transactions on Signal and Information Processing over Networks · doi:10.1109/tsipn.2025.3572728 · Cited by 3
“Third, the observer-free structure and the requirement to solve only a low-dimensional linear matrix inequality in (12) simplify the controller implementation and reduce computational cost.”
Hua, Z., Yang, C., Yan, X. H., Jia, F., & Zhang, Q. (2026) · Nonlinear Dynamics · doi:10.1007/s11071-026-12362-6 · Cited by 2
Robust cooperative control for stratosphere airships under dynamic nonlinear
Zhang, P., Peng, Z., Wang, X., et al. (2026) · Aerospace Systems · doi:10.1007/s42401-025-00436-z
Liu, Y., Liu, Z., & Xue, S. (2026) · Applied Mathematical Modelling · doi:10.1016/j.apm.2026.117238
Hua, Z., Xu, S., & Ahn, C. K. (2026) · IEEE Systems Journal · doi:10.1109/jsyst.2026.3711061
“These input delays can significantly degrade system performance, potentially leading to reduced control accuracy or even instability [32].”
Self-citationPredictive Cooperative Control for HOFAMASs
Zhang, D., & Liu, G.-P. (2026) · Springer eBooks · doi:10.1007/978-981-95-1695-7_3
Metadata
- Authors
- Zheng, S., Ahn, C. K., Jiang, X., Yan, H., & Shi, P.
- Affiliations
- China University of Geosciences (CN)
- Korea University (KR)
- East China University of Science and Technology (CN)
- The University of Adelaide (AU)
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2025-02
- Volume
- 70
- Issue
- 2
- Pages
- 1336-1343
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- 2334-3303
- OpenAlex
- W4402591516
- Semantic Scholar
- 9bc08cc842187d209db6be55bbd791f9c19838d9
- Cited by
- 8
- References
- 32
- Citations by year
- 2026: 5 · 2025: 3
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Transactions on Automatic Control (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Funders
- National Natural Science Foundation of China (52375520, 62476257)
- Key Research and Development Projects of Hubei Province (2023DJC173, 2023BAB172)
- Australian Research Council (DP240101140)
- Natural Science Foundation Regional Joint Fund of Hunan Province (2023JJ50037)
- National Research Foundation of Korea
- Korea Government (NRF2020R1A2C1005449)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- cooperative output regulation, nonlinear multi-agent systems, input delay compensation, periodic event-triggered control, distributed observer, Lyapunov-Krasovskii functional, exponential stability, asynchronous communication
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