Adaptive fault-tolerant containment control for stochastic nonlinear multi-agent systems with input saturation

被引：5
作者：
Cheng, Shen [1 ,2 ]
Cheng, Zhijian [1 ,2 ]
Ren, Hongru [1 ,2 ]
Lu, Renquan [1 ,2 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou, Peoples R China
来源：
OPTIMAL CONTROL APPLICATIONS & METHODS | 2023年 / 44卷 / 03期
基金：
中国国家自然科学基金;
关键词：
containment control; input saturation; sensor faults; stochastic multi-agent systems; LEADER-FOLLOWING CONSENSUS; TRACKING CONTROL; NETWORK;
D O I：
10.1002/oca.2899
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article considers the fault-tolerate containment control problem for stochastic nonlinear multi-agent systems in the presence of input saturation and sensor faults. In order to solve the problem of input saturation, a smooth function is used to approximate the controller saturation function. Due to the excellent approximation characteristic, neural network (NN) is used to deal with unknown nonlinear functions and unknown sensor faults. Meanwhile, by using the auxiliary system and combining adaptive backstepping technique with adaptive NN control, a fault-tolerant containment control approach is proposed. By using graph theory and stochastic Lyapunov stability theory, it can be proved that all signals in the closed-loop system are semi-globally uniformly ultimately bounded in probability. Finally, simulation results are given to show the effectiveness of the proposed control scheme.
引用
收藏
页码：1491 / 1509
页数：19
相关论文
共 48 条
[1]   Event-Triggered Control for Multiagent Systems With Sensor Faults and Input Saturation [J].
Cao, Liang ;
Li, Hongyi ;
Dong, Guowei ;
Lu, Renquan .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (06) :3855-3866
[2]   Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults [J].
Chen, Ci ;
Lewis, Frank L. ;
Xie, Shengli ;
Modares, Hamidreza ;
Liu, Zhi ;
Zuo, Shan ;
Davoudi, Ali .
AUTOMATICA, 2019, 102 :19-26
[3]   Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation [J].
Chen, Mou ;
Tao, Gang ;
Jiang, Bin .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (09) :2086-2097
[4]   Simultaneous fault detection and consensus control design for a network of multi-agent systems [J].
Davoodi, Mohammadreza ;
Meskin, Nader ;
Khorasani, Khashayar .
AUTOMATICA, 2016, 66 :185-194
[5]   Fault-Tolerant Fuzzy Formation Control for a Class of Nonlinear Multiagent Systems Under Directed and Switching Topology [J].
Deng, Chao ;
Che, Wei-Wei .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (09) :5456-5465
[6]   Finite-Time Consensus Tracking Neural Network FTC of Multi-Agent Systems [J].
Dong, Guowei ;
Li, Hongyi ;
Ma, Hui ;
Lu, Renquan .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (02) :653-662
[7]   Distributed fixed-time consensus for nonlinear heterogeneous multi-agent systems [J].
Du, Haibo ;
Wen, Guanghui ;
Wu, Di ;
Cheng, Yingying ;
Lu, Jinhu .
AUTOMATICA, 2020, 113
[8]   Containment control for distributed networks subject to multiplicative and additive noises with stochastic approximation-type protocols [J].
Du, Yingxue ;
Wang, Yijing ;
Zuo, Zhiqiang ;
Zhang, Wentao .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (02) :665-684
[9]   Event-Triggered Fuzzy Bipartite Tracking Control for Network Systems Based on Distributed Reduced-Order Observers [J].
Liang, Hongjing ;
Guo, Xiyue ;
Pan, Yingnan ;
Huang, Tingwen .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (06) :1601-1614
[10]   Distributed tracking control of leader-follower multi-agent systems under noisy measurement [J].
Hu, Jiangping ;
Feng, Gang .
AUTOMATICA, 2010, 46 (08) :1382-1387
12345