Cited by 8Distributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationStability and Control of Uncertain Systems

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index; none of the 8 sources its claims cite is checked for support yet.

Nonlinear Cooperative Output Regulation With Input Delay Compensation

Open access
Zheng, Shiqi, Ahn, Choon Ki, Jiang, Xiaowei, Yan, Huaicheng, Shi, Peng·2025·IEEE Transactions on Automatic Control

Abstract

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

AI snapshot

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.

Integrity signals

Registry

Crossref · 10.1109/tac.2024.3462634

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

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.
  • 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.

    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) 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 given

    There 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 claim
  • It 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 claim
  • It may state two separate claims as one.

    Findingown data

    In 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 claim
  • It may state two separate claims as one.

    Findingown data

    In 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 claim
  • Probably not a substantial claim.

    Premisecitation

    The 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.

    Premisereasoning

    The 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.

    Premisecitation

    Transforming 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 given

    The 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 claim
  • It may state two separate claims as one.

    Interpretationreasoning

    The 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 claim
  • Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.

    Interpretationcitation

    The 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 claim
  • It may state two separate claims as one.

    Interpretationreasoning

    Predictor 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.

    Interpretationreasoning

    The 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 given

    The 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 claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationnone given

    The 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 claim
  • Probably not a substantial claim. The paper may give no reason why it holds.

    Interpretationnone given

    The 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
17 of 17
  • 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.”
10 of 10

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

    Minor

    The 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.

1 of 1

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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
Cited by
8
References
32
Citations by year
2026: 5 · 2025: 3
FWCI
1.37
Type
journal article
Language
en
Open access
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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