Ren, Hongru; Li, Shubo; Lu, Changxin Event-triggered adaptive fault-tolerant control for multi-agent systems with unknown disturbances. (English) Zbl 1478.93416 Discrete Contin. Dyn. Syst., Ser. S 14, No. 4, 1395-1414 (2021). Summary: This paper presents an event-triggered consensus control protocol for a class of multi-agent systems with actuator faults, sensor faults and unknown disturbances. The adaptive neural network compensation control method is introduced to solve the problem of sensor faults. The event-triggered mechanism is developed to reduce the communication burden. In the control design process, the radial basis function neural networks are used to approximate the unknown nonlinear functions, and a nonlinear disturbance observer is used to eliminate the effect of unknown external disturbances. Furthermore, based on the graph theory and Lyapunov stability theory, it is further shown that the consensus tracking errors are semi-globally uniformly ultimately bounded. Finally, the simulation example illustrates the effectiveness of the designed control protocol. Cited in 5 Documents MSC: 93C65 Discrete event control/observation systems 93C40 Adaptive control/observation systems 93A16 Multi-agent systems 93B53 Observers 93C10 Nonlinear systems in control theory Keywords:actuator faults; multi-agent systems; event-triggered control; disturbance observer PDFBibTeX XMLCite \textit{H. Ren} et al., Discrete Contin. Dyn. Syst., Ser. S 14, No. 4, 1395--1414 (2021; Zbl 1478.93416) Full Text: DOI References: [1] A. Bounemeur; M. Chemachema; N. Essounbouli, Indirect adaptive fuzzy fault-tolerant tracking control for mimo nonlinear systems with actuator and sensor failures, ISA Transactions, 79, 45-61 (2018) [2] L. Cao, H. Li, G. Dong and R. Lu, Event-triggered control for multiagent systems with sensor faults and input saturation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 1-12. [3] Z. Chen, Q.-L. Han, Y. Yan and Z. Wu, How often should one update control and estimation: Review of networked triggering techniques, SCIENCE CHINA Information Sciences, 63 (2020), 150201. [4] P. Du, H. Liang, S. Zhao and C. K. Ahn, Neural-based decentralized adaptive finite-time control for nonlinear large-scale systems with time-varying output constraints, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 1-12. [5] Z. Hou; L. Cheng; M. Tan, Decentralized robust adaptive control for the multiagent system consensus problem using neural networks, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39, 636-647 (2009) [6] J. Hu; Y. Wu; T. Li; B. K. Ghosh, Consensus control of general linear multiagent systems with antagonistic interactions and communication noises, IEEE Transactions on Automatic Control, 64, 2122-2127 (2018) · Zbl 1482.93040 [7] W. Hu; L. Liu; G. Feng, Consensus of linear multi-agent systems by distributed event-triggered strategy, IEEE Transactions on Cybernetics, 46, 148-157 (2016) [8] W. Hu; L. Liu; G. Feng, Event-triggered cooperative output regulation of linear multi-agent systems under jointly connected topologies, IEEE Transactions on Automatic Control, 64, 1317-1322 (2019) · Zbl 1482.93041 [9] C. Hua; K. Li; X. Guan, Leader-following output consensus for high-order nonlinear multiagent systems, IEEE Transactions on Automatic Control, 64, 1156-1161 (2018) · Zbl 1482.93038 [10] M. Hui, L. Hongyi, L. Renquan and T. Huang, Adaptive event-triggered control for a class of nonlinear systems with periodic disturbances, SCIENCE CHINA Information Sciences, 63 (2020), 150212. [11] J. Leng; H. Zhang; D. Yan; Q. Liu; X. Chen; D. Zhang, Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop, Journal of Ambient Intelligence and Humanized Computing, 10, 1155-1166 (2019) [12] X. Li; D. W. Ho; J. Cao, Finite-time stability and settling-time estimation of nonlinear impulsive systems, Automatica, 99, 361-368 (2019) · Zbl 1406.93260 [13] X. Li; S. Song, Stabilization of delay systems: Delay-dependent impulsive control, IEEE Transactions on Automatic Control, 62, 406-411 (2017) · Zbl 1359.34089 [14] X. Li; J. Wu, Stability of nonlinear differential systems with state-dependent delayed impulses, Automatica, 64, 63-69 (2016) · Zbl 1329.93108 [15] X. Li; X. Yang; S. Song, Lyapunov conditions for finite-time stability of time-varying time-delay systems, Automatica, 103, 135-140 (2019) · Zbl 1415.93188 [16] Y. Li; G. Yang, Adaptive fuzzy decentralized control for a class of large-scale nonlinear systems with actuator faults and unknown dead zones, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47, 729-740 (2016) [17] H. Liang, L. Zhang, Y. Sun and T. Huang, Containment control of semi-Markovian multiagent systems with switching topologies, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 1-11. [18] H. Liang, X. Guo, Y. Pan and T. Huang, Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers, IEEE Transactions on Fuzzy Systems, 2020, 1-1. [19] Q. Liu; H. Zhang; J. Leng; X. Chen, Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system, International Journal of Production Research, 57, 3903-3919 (2019) [20] Y. Liu; X. Liu; Y. Jing; X. Chen; J. Qiu, Direct adaptive preassigned finite-time control with time-delay and quantized input using neural network, IEEE Transactions on Neural Networks and Learning Systems, 31, 1222-1231 (2020) [21] Q. Liu, J. Leng, D. Yan, D. Zhang, L. Wei, A. Yu, R. Zhao, H. Zhang and X. Chen, Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system, Journal of Manufacturing Systems, 2020, 1-13. [22] Y. Liu; X. Liu; Y. Jing; Z. Zhang, A novel finite-time adaptive fuzzy tracking control scheme for nonstrict feedback systems, IEEE Transactions on Fuzzy Systems, 27, 646-658 (2018) [23] R. Lu; Y. Xu; A. Xue; J. Zheng, Networked control with state reset and quantized measurements: Observer-based case, IEEE Transactions on Industrial Electronics, 60, 5206-5213 (2012) [24] R. Lu; W. Yu; J. Lü; A. Xue, Synchronization on complex networks of networks, IEEE Transactions on Neural Networks and Learning Systems, 25, 2110-2118 (2014) [25] S. Luo; D. Ye, Adaptive double event-triggered control for linear multi-agent systems with actuator faults, IEEE Transactions on Circuits and Systems I: Regular Papers, 66, 4829-4839 (2019) · Zbl 1468.93099 [26] Y. Qian; L. Liu; G. Feng, Output consensus of heterogeneous linear multi-agent systems with adaptive event-triggered control, IEEE Transactions on Automatic Control, 64, 2606-2613 (2018) · Zbl 1482.93050 [27] W. Ren, Distributed attitude alignment in spacecraft formation flying, Internat. J. Adapt. Control Signal Process., 21, 95-113 (2007) · Zbl 1115.93338 [28] R. O. Saber; R. M. Murray, Consensus protocols for networks of dynamic agents, 2003 American Control Conference, 2, 951-956 (2003) [29] R. Sakthivel; A. Parivallal; B. Kaviarasan; H. Lee; Y. Lim, Finite-time consensus of Markov jumping multi-agent systems with time-varying actuator faults and input saturation, ISA Transactions, 83, 89-99 (2018) [30] R. Sakthivel; R. Sakthivel; B. Kaviarasan; H. Lee; Y. Lim, Finite-time leaderless consensus of uncertain multi-agent systems against time-varying actuator faults, Neurocomputing, 325, 159-171 (2019) [31] Y. Su; Q. Wang; C. Sun, Self-triggered consensus control for linear multi-agent systems with input saturation, IEEE/CAA Journal of Automatica Sinica, 7, 150-157 (2020) [32] Y. Su; B. Chen; C. Lin; H. Wang; S. Zhou, Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach, Information Sciences, 369, 748-764 (2016) · Zbl 1429.93188 [33] D. Sumpter; S. Pratt, A modelling framework for understanding social insect foraging, Behavioral Ecology and Sociobiology, 53, 131-144 (2003) [34] X. Tan; J. Cao; X. Li, Consensus of leader-following multiagent systems: A distributed event-triggered impulsive control strategy, IEEE Transactions on Cybernetics, 49, 792-801 (2018) [35] A. Wang; X. Liao; T. Dong, Fractional-order follower observer design for tracking consensus in second-order leader multi-agent systems: Periodic sampled-based event-triggered control, Journal of the Franklin Institute, 355, 4618-4628 (2018) · Zbl 1390.93516 [36] W. Wang, H. Liang, Y. Pan and T. Li, Prescribed performance adaptive fuzzy containment control for nonlinear multi-agent systems using disturbance observer, IEEE Transactions on Cybernetics, 2020, 1-13. [37] X. Wang; S. Li; X. Yu; J. Yang, Distributed active anti-disturbance consensus for leader-follower higher-order multi-agent systems with mismatched disturbances, IEEE Transactions on Automatic Control, 62, 5795-5801 (2017) · Zbl 1390.93547 [38] H. Wu; H. Su, Observer-based consensus for positive multiagent systems with directed topology and nonlinear control input, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49, 1459-1469 (2018) [39] Y. Wu; Z. Wang; S. Ding; H. Zhang, Leader-follower consensus of multi-agent systems in directed networks with actuator faults, Neurocomputing, 275, 1177-1185 (2018) [40] G. Xie, L. Sun, T. Wen, X. Hei and F. Qian, Adaptive transition probability matrix-based parallel IMM algorithm, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 1-10. [41] D. Yao, H. Li, R. Lu and Y. Shi, Distributed sliding mode tracking control of second-order nonlinear multi-agent systems: An event-triggered approach, IEEE Transactions on Cybernetics, 2020, 1-11. [42] F. Ye; B. Sun; L. Ou; W. Zhang, Disturbance observer-based control for consensus tracking of multi-agent systems with input delays from a frequency domain perspective, Systems & Control Letters, 114, 66-75 (2018) · Zbl 1388.93013 [43] Y. Ye; H. Su; Y. Sun, Event-triggered consensus tracking for fractional-order multi-agent systems with general linear models, Neurocomputing, 315, 292-298 (2018) [44] X. You; C. Hua; X. Guan, Event-triggered leader-following consensus for nonlinear multiagent systems subject to actuator saturation using dynamic output feedback method, IEEE Transactions on Automatic Control, 63, 4391-4396 (2018) · Zbl 1423.93039 [45] C. Zhang; G. Yang, Event-triggered adaptive output feedback control for a class of uncertain nonlinear systems with actuator failures, IEEE Transactions on Cybernetics, 50, 201-210 (2018) [46] H. Zhang; F. L. Lewis, Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics, Automatica, 48, 1432-1439 (2012) · Zbl 1348.93144 [47] H. Zhang; F. L. Lewis; Z. Qu, Lyapunov, adaptive, and optimal design techniques for cooperative systems on directed communication graphs, IEEE Transactions on Industrial Electronics, 59, 3026-3041 (2012) [48] L. Zhang, H. Liang, Y. Sun and C. K. Ahn, Adaptive event-triggered fault detection scheme for semi-Markovian jump systems with output quantization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 1-12. [49] X.-M. Zhang; Q.-L. Han; X. Ge; D. Ding; L. Ding; D. Yue; C. Peng, Networked control systems: A survey of trends and techniques, IEEE/CAA Journal of Automatica Sinica, 7, 1-17 (2020) [50] S. Zheng; P. Shi; S. Wang; Y. Shi, Event triggered adaptive fuzzy consensus for interconnected switched multiagent systems, IEEE Transactions on Fuzzy Systems, 27, 144-158 (2019) [51] Q. Zhou, P. Du, H. Li, R. Lu and J. Yang, Adaptive fixed-time control of error-constrained pure-feedback interconnected nonlinear systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2019, 1-12. [52] Q. Zhou, W. Wang, H. Liang, M. Basin and B. Wang, Observer-based event-triggered fuzzy adaptive bipartite containment control of multi-agent systems with input quantization, IEEE Transactions on Fuzzy Systems, 2019, 1-1. [53] Q. Zhou, W. Wang, H. Ma and H. Li, Event-triggered fuzzy adaptive containment control for nonlinear multi-agent systems with unknown Bouc-Wen hysteresis input, IEEE Transactions on Fuzzy Systems, 2019, 1-1. [54] S. Zhu, Y. Liu, Y. Lou and J. Cao, Stabilization of logical control networks: An event-triggered control approach, SCIENCE CHINA Information Sciences, 63 (2020), 112203. [55] Z. Zhu, Y. Pan, Q. Zhou and C. Lu, Event-triggered adaptive fuzzy control for stochastic nonlinear systems with unmeasured states and unknown backlash-like hysteresis, IEEE Transactions on Fuzzy Systems, 2019, 1-1. This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.