Neuroadaptive consensus tracking control of uncertain nonlinear multiagent systems with state time-delays

被引：5

作者：

Lin, Chuangquan ^{[1
]}

Liu, Zhi ^{[1
]}

Chen, C. L. Philip ^{[2
,3
]}

Zhang, Yun ^{[1
]}

Wu, Zongze ^{[1
]}

机构：

[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China

[2] South China Univ Technol, Fac Comp Sci & Engn, Guangzhou 510006, Guangdong, Peoples R China

[3] Univ Macau, Fac Sci & Technol, Taipa 999078, Macao, Peoples R China

来源：

INFORMATION SCIENCES | 2023年 / 649卷

关键词：

Adaptive neural control; Multiagent systems (MASs); Consensus control; Backstepping; State time-delays; ADAPTIVE NEURAL-CONTROL;

D O I：

10.1016/j.ins.2023.119523

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The consistency issue of uncertain nonlinear multiagent systems with state delay is investigated. We propose a novel neuroadaptive control scheme that utilizes the novel Lyapunov-Krasovskii functional design to get rid of the effect of state delay. In the design of Lyapunov-Krasovskii functional, a set of reduced-order smoothing functions is introduced to enhance the system's transient performance. In addition, an improved tuning function method is proposed to reduce the dimension of the adaptive parameters. In this paper, the estimation parameters are the greatest norm of the ideal weighted vector, so that each agent needs only one online update parameter, which greatly reduces the online computation burden. The proposed controller converges the synchronization error to a predetermined interval and guarantees the transient performance of the adjustable L2-norm. Finally, the results are proved through two examples.

引用

页数：17

共 40 条

[31] Consensus of second-order multi-agent systems with delayed nonlinear dynamics and intermittent communications [J].

Wen, Guanghui ;

Duan, Zhisheng ;

Yu, Wenwu ;

Chen, Guanrong .

INTERNATIONAL JOURNAL OF CONTROL, 2013, 86 (02) :322-331

[32] Practical Adaptive Fuzzy Control of Nonlinear Pure-Feedback Systems With Quantized Nonlinearity Input [J].

Wu, Jian ;

Wu, Zheng-Guang ;

Li, Jing ;

Wang, Guangjun ;

Zhao, Haiying ;

Chen, Weisheng .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 49 (03) :638-648

[33] Event-Triggered Control for Consensus Problem in Multi-Agent Systems With Quantized Relative State Measurements and External Disturbance [J].

Wu, Zheng-Guang ;

Xu, Yong ;

Pan, Ya-Jun ;

Su, Housheng ;

Tang, Yang .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2018, 65 (07) :2232-2242

[34] Adaptive control of cyber-physical systems under deception and injection attacks [J].

Yang, Yue ;

Huang, Jiangshuai ;

Su, Xiaojie ;

Deng, Benmin .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2021, 358 (12) :6174-6194

[35] Adaptive Neural Control for a Class of Strict-Feedback Nonlinear Systems With State Time Delays [J].

Yoo, Sung Jin ;

Park, Jin Bae ;

Choi, Yoon Ho .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2009, 20 (07) :1209-1215

[36] Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics [J].

Zhang, Hongwei ;

Lewis, Frank L. .

AUTOMATICA, 2012, 48 (07) :1432-1439

[37] Finite-Horizon Optimal Consensus Control for Unknown Multiagent State-Delay Systems [J].

Zhang, Huaipin ;

Park, Ju H. ;

Yue, Dong ;

Xie, Xiangpeng .

IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (02) :402-413

[38] Adaptive fault-tolerant control for nonlinear multi-agent systems with DoS attacks [J].

Zhao, Liang ;

Yang, Guang-Hong .

INFORMATION SCIENCES, 2020, 526 :39-53

[39] Consensus Tracking for High-Order Uncertain Nonlinear MASs via Adaptive Backstepping Approach [J].

Zhao, Xiujuan ;

Chen, Shiming ;

Zhang, Zheng ;

Zheng, Yuanshi .

IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (02) :1248-1259

[40] Resilient Consensus of Multiagent Systems Against Denial-of-Service Attacks [J].

Zuo, Zhiqiang ;

Cao, Xiong ;

Wang, Yijing ;

Zhang, Wentao .

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (04) :2664-2675

← 1 2 3 4 →