Cited by 292Stability and Control of Uncertain SystemsAdaptive Control of Nonlinear SystemsNeural Networks Stability and Synchronization

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems

Sahoo, Avimanyu, Xu, Hao, Jagannathan, Sarangapani·2016·IEEE Transactions on Neural Networks and Learning Systems

DOI 10.1109/tnnls.2015.2416259

Open this paper in CoChat — free account

Abstract

This paper presents a novel approximation-based event-triggered control of multi-input multi-output uncertain nonlinear continuous-time systems in affine form. The controller is approximated using a linearly parameterized neural network (NN) in the context of event-based sampling. After revisiting the NN approximation property in the context of event-based sampling, an event-triggered condition is proposed using the Lyapunov technique to reduce the network resource utilization and to generate the required number of events for the NN approximation. In addition, a novel weight update law for aperiodic tuning of the NN weights at triggered instants is proposed to relax the knowledge of complete system dynamics and to reduce the computation when compared with the traditional NN-based control. Nonetheless, a nonzero positive lower bound for the inter-event times is guaranteed to avoid the accumulation of events or Zeno behavior. For analyzing the stability, the event-triggered system is modeled as a nonlinear impulsive dynamical system and the Lyapunov technique is used to show local ultimate boundedness of all signals. Furthermore, in order to overcome the unnecessary triggered events when the system states are inside the ultimate bound, a dead-zone operator is used to reset the event-trigger errors to zero. Finally, the analytical design is substantiated with numerical results.

Integrity signals

Registry

Crossref · 10.1109/tnnls.2015.2416259

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks
Paulo Tabuada, B. (2007) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2007.904277 · Cited by 4,756
Neural Network Control Of Robot Manipulators And Non-Linear Systems
Lewis, F. L., Jagannathan, S., & Yesildirak, A. (2020) · CRC Press eBooks · doi:10.1201/9781003062714 · Cited by 1,872
Self-citation
Hybrid Dynamical Systems
Goebel, R., Sanfelice, R. G., & Teel, A. R. (2009) · IEEE Control Systems · doi:10.1109/mcs.2008.931718 · Cited by 1,656
Event-Triggering in Distributed Networked Control Systems
Wang, X., & Lemmon, M. D. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2057951 · Cited by 1,171
A state-feedback approach to event-based control
Lunze, J., & Lehmann, D. (2009) · Automatica · doi:10.1016/j.automatica.2009.10.035 · Cited by 1,024
Adaptive Control Tutorial
Ioannou, P., & Fi̇dan, B. (2006) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898718652 · Cited by 977
Output-Based Event-Triggered Control With Guaranteed ${\cal L}_{\infty}$-Gain and Improved and Decentralized Event-Triggering
Donkers, M. C. F., & Heemels, W. P. M. H. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2174696 · Cited by 872
To Sample or not to Sample: Self-Triggered Control for Nonlinear Systems
Anta, A., & Paulo Tabuada, B. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2042980 · Cited by 871
Comparison of periodic and event based sampling for first-order stochastic systems
Åström, K. J., & Bernhardsson, B. (1999) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)56852-4 · Cited by 826

Show all 25 references

Research works printed but not linked: 2

wang, 2010, ${\mathcal{ L}}_{1}$ adaptive control of event-triggered networked systems, Proc Amer Control Conf, 2458
khalil, 2002, Nonlinear Systems

Sorted by citations

Items 201–292 of 292

A computationally efficient policy optimization scheme in feedback iterative learning control for nonlinear batch process
Gao, K., Lu, J., Zhou, Y., & Gao, F. (2025) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2025.109005 · Cited by 5
Bio-Motivated Two-Level Event-Triggered Controller for Nonlinear Systems
Gao, H., & Yin, L. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3047120 · Cited by 5
Self-triggering adaptive optimal control for nonlinear systems based on encoding mechanism
Lou, X., & Ji, Z. (2021) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2021.06.023 · Cited by 5
Adaptive Event Triggered Optimal Control for Constrained Continuous-time Nonlinear Systems
Wang, P., Wang, Z., & Ma, Q. (2022) · International Journal of Control Automation and Systems · doi:10.1007/s12555-021-0210-1 · Cited by 5
Optimal control of partially unknown constrained‐input systems: A dynamic event‐triggered‐based approach
Zou, H., & Zhang, G. (2023) · Optimal Control Applications and Methods · doi:10.1002/oca.3046 · Cited by 5
Event-driven based online adaptive trajectory planning and control for the UAV slung-payload transportation system
Cai, J., Xian, B., Zhou, Z., & Yu, J. Q. (2025) · Aerospace Science and Technology · doi:10.1016/j.ast.2025.110255 · Cited by 4
Aperiodic update fixed-time control for stochastic system: A self-learning optimal strategy based on reinforcement learning
Fu, Z., Wang, Y., Qu, B., & Tao, F. (2026) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2026.109675 · Cited by 4
Event Triggered Fault Tolerant Control for Nonlinear Systems Based on Adaptive Fault Estimation
Fan, Q., Xu, S., Deng, C., & Wang, C. (2020) · International Conference on Control, Automation, Robotics and Vision (ICARCV) · doi:10.1109/icarcv50220.2020.9305501 · Cited by 4
Finite-Time Asynchronous Event-Triggered Formation of UAVs with Semi-Markov-Type Topologies
Ma, C., Zheng, S., Xu, T., & Ji, Y. (2022) · Sensors · doi:10.3390/s22124529 · Cited by 4
Observer‐based event and self‐triggered adaptive output feedback control of robotic manipulators
Gao, J., He, W., & Qiao, H. (2022) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.6332 · Cited by 4
Event‐triggered output feedback predictive control for Takagi‐Sugeno model with bounded disturbance and redundant channels
Wang, J., Ding, B., & Wang, P. (2023) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.6559 · Cited by 4
Near-optimal sliding mode control for multi-robot consensus under dynamic events
Nandanwar, A., Dhar, N. K., Behera, L., & Sinha, R. (2023) · Advanced Robotics · doi:10.1080/01691864.2022.2155489 · Cited by 4
Neural network-based fully distributed dynamic event-triggered formation-containment control for nonlinear multi-agent systems
You, L., Qin, K., Yue, J., Li, W., Lin, B., & Shi, M. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.130324 · Cited by 4
Design and Analysis of Event-Triggered Neuro-Adaptive Controller (ETNAC) for Uncertain Systems
Ghafoor, A., & Balakrishnan, S. N. (2020) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2020.03.022 · Cited by 4
Event-triggered integral reinforcement learning for nonlinear continuous-time systems
Zhang, Q., & Zhao, D. (2017) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci.2017.8280874 · Cited by 4
Design of neural network based sliding mode controller for a class of nonlinear system: an event-triggered framework
Nath, K., & Bera, M. K. (2021) · International Journal of Dynamics and Control · doi:10.1007/s40435-021-00864-7 · Cited by 4
Adaptive Neural Network Event-Triggered Control for a High-Rise Building With Active Mass Damper
Li, Q., Zhang, S., Zhao, X., Liu, Z., He, W., & Li, G. (2025) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2025.3600108 · Cited by 3
Event-sampled direct adaptive NN state-feedback control of uncertain strict-feedback system
Szanto, N., Narayanan, V., & Jagannathan, S. (2016) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2016.7798780 · Cited by 3
Self-citation
Model-based event-triggered adaptive formation control for underactuated surface vehicles via the minimal learning parameter technique
Zhang, G., Yu, W., Li, J., & Zhang, W. (2021) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/09596518211040284 · Cited by 3
Dynamically Triggered Control for System Connected to Network With Permissible Imperfections
Dhar, N. K., Verma, N. K., & Behera, L. (2022) · IEEE Systems Journal · doi:10.1109/jsyst.2021.3137363 · Cited by 3
Switching threshold event‐triggered critic algorithm for optimal orbit tracking and formation motion
Yu, R., Chen, Y., & Zhang, Y. (2023) · IET Control Theory and Applications · doi:10.1049/cth2.12584 · Cited by 3
Event-triggered PDF shape control of non-Gaussian stochastic system
Sun, X., & Zhou, P. (2025) · Automatica · doi:10.1016/j.automatica.2024.112101 · Cited by 3
Exponential stability criteria for neural network based control of nonlinear systems
Jain, A. K., Fiter, C., Berdjag, D., & Polet, P. (2020) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc45564.2020.9147848 · Cited by 3
Adaptive control for the nonlinear event-triggered networked control system: a decoupling method
He, C., Liu, S., Li, J., & Wang, J. (2022) · Nonlinear Dynamics · doi:10.1007/s11071-022-08010-4 · Cited by 3
Stabilization of linear singular systems with state delay and event-triggered scheme
Du, Z., Yuan, W., Li, J., & Hu, S. (2016) · Chinese Control Conference (CCC) · doi:10.1109/chicc.2016.7553295 · Cited by 3
Event-triggered Multi-agent Optimal Regulation Using Adaptive Dynamic Programming
Zhong, X., & He, H. (2020) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn48605.2020.9207205 · Cited by 3
Sliding mode differentiator-based event-triggered control for state-constrained nonlinear systems with unknown virtual control coefficients
Wang, M., Wang, L., & Yang, C. (2021) · International Journal of Control · doi:10.1080/00207179.2021.2005828 · Cited by 3
Event-triggered control of interconnected nonlinear systems subjected to cyber-attacks and time-varying coupling
Bansal, K., & Mukhija, P. (2022) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2022.09.051 · Cited by 2
Event-triggered adaptive sliding mode control for steer-by-wire systems with actuator fault
Li, H., Ma, B., & Wang, Y. (2023) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312221138321 · Cited by 2
Event-Triggered Control for Nonlinear Systems: A High-Order Full-Actuation Approach
Chen, Z., Sheng, L., & Gao, M. (2023) · Conference on Fully Actuated System Theory and Applications (FASTA) · doi:10.1109/cfasta57821.2023.10243243 · Cited by 2
Neural learning-based dual channel event-triggered deployment control of space tethered system with intermittent output
Huang, B., Zhang, F., Song, M., & Huang, P. (2023) · Acta Astronautica · doi:10.1016/j.actaastro.2023.09.033 · Cited by 2
Layers Update of Neural Network Control via Event-Triggering Mechanism
Tarbouriech, S., de Souza, C., & Antoine Girard, A. (2024) · Lecture notes in control and information sciences · doi:10.1007/978-3-031-49555-7_11 · Cited by 2
Action-dependent heuristic dynamic programming for hybrid-order systems based on dynamic event-triggered mechanism
Li, J. Q., Li, H., Zheng, L., Ran, L., & Ji, L. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.128171 · Cited by 2
Aperiodic Sensing and Data-Driven System Identification of Nonlinear Systems Using Chebyshev Pseudospectral Approach
Yousefian, A., Sahoo, A., & Narayanan, V. (2024) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc56724.2024.10886286 · Cited by 2
Self-citation
Safety Control for Cyber–Physical Systems Under False Data Injection Attacks
Xu, L., Zhu, Y., Li, Z., & Zhang, Q. (2025) · Electronics · doi:10.3390/electronics14061103 · Cited by 2
About Extracting Dynamic Information of Unknown Complex Systems by Neural Networks
Irigoyen, E., Barragán, A. J., Larrea, M., & Andújar, J. M. (2018) · Complexity · doi:10.1155/2018/3671428 · Cited by 2
Event-Triggered Robust Stabilization Incorporating an Adaptive Critic Mechanism
Wang, D., & Mu, C. (2018) · Studies in systems, decision and control · doi:10.1007/978-981-13-1253-3_5 · Cited by 2
Event-triggered Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Systems
Hu, H., Li, Y., Yi, W., Wang, Y., Qu, F., & Wang, X. (2021) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126621502753 · Cited by 2
Fuzzy adaptive event‐triggered control of high‐power nonlinear systems with fixed‐time convergence
Yang, T., Kang, H., & Ma, H. (2022) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3492 · Cited by 2
Online Adaptive Critic Learning Control of Unknown Dynamics With Application to Deep Submergence Rescue Vehicle
Wang, X., Ye, X., & Liu, W. (2020) · IEEE Access · doi:10.1109/access.2020.2996270 · Cited by 2
Event-Triggered Neural Network Control for Uncertain Nonlinear Systems Without State Observer
Hu, H., Wang, Y., Yi, W., Li, Y., Yan, J., Wei, X., & Yuan, J. (2022) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126622502632 · Cited by 1
Event‐triggered adaptive estimated inverse neural network control of uncertain nonlinear systems with unknown hysteresis effects
Zhou, N., Yao, J., & Deng, W. (2024) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.7352 · Cited by 1
Event-Triggered Prescribed Performance Control for Multi-Input Multi-Output Nonlinear Systems
Cui, E., & Zhang, J. (2024) · Conference on Fully Actuated System Theory and Applications (FASTA) · doi:10.1109/fasta61401.2024.10595266 · Cited by 1
The Dynamic Event-Based Non-Fragile H∞ State Estimation for Discrete Nonlinear Systems with Dynamical Bias and Fading Measurement
Luo, M., Yang, B., Yan, Z., Shen, Y., & Hu, M. (2024) · Mathematics · doi:10.3390/math12182957 · Cited by 1
Optimal Control of Active Load Interconnected System in DC Microgrid via an Adaptive Decentralized Event-Triggered Mechanism
Zhang, D. H., Su, H., Zhang, H., Sun, J., Mi, Z., & Zong, Y. (2025) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2025.3595844 · Cited by 1
SGCF: An MPC-Inspired Control Framework Using Sequence Generation Networks for Flotation Process
Qian, Z., Xie, Y., Xie, S., & Tang, Z. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3599660 · Cited by 1
State-Triggered Fault-Tolerant Control Strategy for Performance Recovery in Nonlinear Interconnected Systems
Sun, W., Ding, L., Lv, X., & Wu, Y. (2025) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2025.3646608 · Cited by 1
Direct Adaptive Control of Neural Network of Magnetic Levitation System of CNC Machine Tool Linear Synchronous Motor
Lan, Y., Yao, W., Wenkang, Y., & 在加工过程中, 突. 。. (2021) · Journal of Mechanical Engineering · doi:10.3901/jme.2021.17.236 · Cited by 1
A memory behavior related hybrid event-triggered mechanism for an improved robust control on neural networks
Liu, Y., Zhang, Z., Chen, H., & Zhong, S. (2023) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2023.04.023 · Cited by 1
A Novel Fuzzy Adaptive Consensus Algorithm for General Strict-feedback Nonlinear Multi-agent Systems Using Backstepping Approaches
Li, Y., Zhao, H., Wang, C., Huang, J., Li, K., & Zhang, L. (2023) · Chinese Control Conference (CCC) · doi:10.23919/ccc58697.2023.10241101 · Cited by 1
Direct Adaptive Control of Nonaffine Magnetic Levitation System Using Radial Basis Function Neural Network
Sebastian, J., & Shihabudheen, K. V. (2023) · International Conference on Emerging Techniques in Computational Intelligence (ICETCI) · doi:10.1109/icetci58599.2023.10331257 · Cited by 1
A lifting approach to learning-based self-triggered control with Gaussian processes
Zhijun, W., Hashimoto, K., Hashimoto, W., & Takai, S. (2024) · Advanced Robotics · doi:10.1080/01691864.2023.2301430 · Cited by 1
Event-triggered control based on adaptive dynamic programming for continuous-time nonlinear systems with completely unknown dynamics
Shi, J., Yue, D., Yang, Y., & Hu, S. (2016) · World Congress on Intelligent Control and Automation · doi:10.1109/wcica.2016.7578620 · Cited by 1
Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems
Dong, L., Sun, C., & He, H. (2016) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2016.7727753 · Cited by 1
Overview of Robust Adaptive Critic Control Design
Wang, D., & Mu, C. (2018) · Studies in systems, decision and control · doi:10.1007/978-981-13-1253-3_1 · Cited by 1
Event-Driven Cooperative Identification for Nonlinear Systems Using Neural Networks
Li, J., Gao, F., Chen, W., Wu, J., & Yan, R. (2018) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2018.8483590 · Cited by 1
Event-Triggered Steering Control for Automated Vehicles With Prescribed Performance
Luo, G., Li, P., Feng, Z., & Ma, B. (2021) · IEEE Access · doi:10.1109/access.2021.3099536 · Cited by 1
Event‐triggered adaptive neural asymptotic tracking of uncertain constrained nonlinear systems without feasibility condition
Jiang, X., Li, Y., Yang, J.-Z., & Tong, S. (2021) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.3357 · Cited by 1
Neural Dynamic Programming for Event-Based Nonlinear Adaptive Robust Stabilization
Wang, D., Ma, H., Liu, D., & Wang, H. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46687-3_16
On-Line Adaptive Dynamic Programming for Feedback Control
Zhong, X. (2017) · Digital Commons - URI (University of Rhode Island) · doi:10.23860/diss-zhong-xiangnan-2017
NNs-based event-triggered consensus control of nonlinear multi-agent systems with uncertain dynamics
Yang, Y., Dong, Y., Xiangpeng, X., Yingjiang, Z., & Ge, H. L. (2017) · Chinese Control Conference (CCC) · doi:10.23919/chicc.2017.8027552
Event-Triggered Nonlinear $$H_{\infty }$$ Control Design via an Improved Critic Learning Strategy
Wang, D., & Mu, C. (2018) · Studies in systems, decision and control · doi:10.1007/978-981-13-1253-3_8
Self-Triggered Tracking Control for Continuous-Time MIMO Nonlinear Systems
Yan, W., Guo, X., Zhang, S., & Cui, P. (2019) · International Conference on Advanced Robotics and Mechatronics (ICARM) · doi:10.1109/icarm.2019.8834058
Finite-Time Boundedness of QVMNNs with Time-Varying Delays
Wei, R., Cao, J., & Li, C. (2020) · International Conference on Advanced Computational Intelligence (ICACI) · doi:10.1109/icaci49185.2020.9177741
Observer-Based Decentralized Event-Triggered Neuro-Adaptive Controller for Complex Uncertain Affine Nonlinear Systems
Rehman, A., & Gondal, A. G. (2021) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc50511.2021.9482653
Model Reference Event-Triggered Leaderless Consensus Control for a Class of Multi-agent Systems with Disturbance
Liang, H., Wang, Z., & Zhang, P. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-5912-6_70
Event-Driven Optimal Regulation with SNAC Framework for Constrained Nonlinear Plants
Hu, L., Wang, D., Zhao, M., & Ren, J. (2021) · Chinese Control Conference (CCC) · doi:10.23919/ccc52363.2021.9550227
Stability of neural-network based train cruise advisory control with aperiodical measurements
Jain, A. K., Berdjag, D., Fiter, C., & Polet, P. (2021) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2021.10.016
Robust Event-Driven Interactions in Cooperative Multi-agent Learning
Ornia, D. J., & Mazo, M. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-15839-1_16
Online Event-Triggered Adaptive Optimal Control of Nonlinear Large-Scale Systems
Su, H., Luan, X., Zheng, Y., Xu, Q., & Yang, J. (2022) · International Conference on Information Science and Technology · doi:10.1109/icist55546.2022.9926827
Event-Triggered Tracking Control for Adaptive Anti-Disturbance Problem in Systems with Multiple Constraints and Unknown Disturbances
Shen, H., Wang, Q., & Yi, Y. (2022) · Entropy · doi:10.3390/e25010043
Introduction
Zou, Y., & Li, S. (2022) · Springer eBooks · doi:10.1007/978-981-19-6084-0_1
Event-Triggered Prescribed Performance Control for Nonlinear Servo Systems with Unknown Disturbances
Liu, D., Ren, X., & Zheng, D. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-6886-2_28
Event-Triggered Cooperative Learning from Adaptive Neural Control of Nonlinear Systems with Output Constraints
Zheng, S., & Gao, F. (2023) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc58219.2023.10327464
References
Gao, H., Sun, C., & He, W. (2025) · doi:10.1002/9781394255306.ref
Event-Triggered H∞ Control for Permanent Magnet Synchronous Motor via Adaptive Dynamic Programming
Gu, C., Su, H., Yan, W., & Cui, Y. (2025) · Machines · doi:10.3390/machines13080715
A Novel Online System Identification Using Chebyshev Polynomial Basis of the Second Kind
Yousefian, A., Sahoo, A., & Narayanan, V. (2025) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc63710.2025.11107666
Self-citation
Adaptive Prescribed-Performance Control of Nonlinear Strict-Feedback Systems Based on State-Triggered Mechanism
Jia, T., & An, L. (2025) · Conference on Fully Actuated System Theory and Applications (FASTA) · doi:10.1109/fasta65681.2025.11139000
Securing nonlinear networked Systems with model-based event-triggered control
Bansal, K., & Mukhija, P. (2025) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312251380885
An event-triggered adaptive dynamic programming control strategy based on recursive terminal sliding mode
Jia, C., Li, X., Zhang, Y., & Chen, X. (2025) · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · doi:10.1177/09596518251383219
Neural adaptive dynamic event-triggered SMC for DTSSs with unknown nonlinearity via DE
Xing, A., & Peng, Z. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-025-11873-y
Adaptive neural coordinated control with periodic triggering sampling
Hu, Q., Shi, Y., & Zhang, J. (2025) · Elsevier eBooks · doi:10.1016/b978-0-44-343948-3.00018-7
Bibliography
(2025) · Elsevier eBooks · doi:10.1016/b978-0-44-343948-3.00021-7
Introduction
Hu, Q., Shi, Y., & Zhang, J. (2025) · Elsevier eBooks · doi:10.1016/b978-0-44-343948-3.00008-4
State-saturated resilient filtering for nonlinear complex networks under event-triggering protocol
Huang, C., Mei, P., & Karimi, H. R. (2026) · Elsevier eBooks · doi:10.1016/b978-0-44-345014-3.00007-x
References
(2026) · Elsevier eBooks · doi:10.1016/b978-0-44-345014-3.00015-9
Investigating Stability of Driver-Vehicle System under Aperiodic Sampling Measurements
Jain, A. (2021) · doi:10.70675/d9b7f594z71f2z4145zadc0zdaed42f74618
Event-triggered control for nonlinear systems : Application to vehicle platoons
Silva, R. N. (2024) · doi:10.70675/244dcbe9z3c8az4c32zb41cz0c1abba3db4f
Observer-Based Periodic Memory-Event-Triggered Tracking Control for Networked Autonomous Vehicles With Deception Attacks and Disturbance
Yang, M., Zha, L., Liu, J., Xie, X.-P., & Tian, E. (2026) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2026.3685672
Observer-based hybrid dynamic event-triggered adaptive neural network control for heterogeneous vehicular platoon systems
Feng, B., He, X., Zhao, H., Wu, H., Xia, Y., Ma, X., Gao, C., & Lu, L. (2026) · ISA Transactions · doi:10.1016/j.isatra.2026.07.005
Adaptive Neural Event-Triggered Control of Vehicular Platoons With Input Saturation Constraint and Unknown Disturbances
Liu, Y., Wei, J., Chen, H., & Liu, L. (2026) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2026.3706163
Adaptive Event-Triggered Output Synchronization for Coupled Neural Networks With Multiple Output or Output Derivative Couplings
Zhu, Y., Wang, J.-L., Wang, J.-Q., Ren, S., & Huang, T. (2026) · IEEE Systems Journal · doi:10.1109/jsyst.2026.3710832

Authors: Sahoo, A., Xu, H., & Jagannathan, S.
Affiliations: Missouri University of Science and Technology (US)
Texas A&M University – Corpus Christi (US)
ORCID: Sahoo, Avimanyu
Xu, Hao
Jagannathan, Sarangapani
Venue: IEEE Transactions on Neural Networks and Learning Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2016-03
Volume: 27
Issue: 3
Pages: 497-509
ISSN: 2162-237X (ISSN-L)
2162-2388
DOI: 10.1109/tnnls.2015.2416259
OpenAlex: W1978921618
Cited by: 292
References: 25
Citations by year: 2026: 7 · 2025: 27 · 2024: 15 · 2023: 34 · 2022: 29 · 2021: 41 · 2020: 33 · 2019: 30 · 2018: 28 · 2017: 27 · 2016: 19
FWCI: 23.14
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (am)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
Locations: IEEE Transactions on Neural Networks and Learning Systems (publishedVersion)
PubMed (publishedVersion)
Funders: Intelligent Systems Center, Missouri University of Science and Technology, Rolla, MO, USA
National Science Foundation (ECCS 1406533)
Topics: Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
Physical Sciences › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
Keywords: event-triggered control, neural network approximation, continuous-time nonlinear systems, MIMO, affine systems, state feedback control, Zeno behavior avoidance, inter-event time lower bound

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks