Consensus of multiagent systems with nonlinear dynamics and time-varying communication delays

被引:16
作者
Qian, Wei [1 ]
Gao, Yanshan [1 ]
Wang, Lei [2 ]
Fei, Shumin [3 ]
机构
[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo 454000, Henan, Peoples R China
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
[3] Southeast Univ, Sch Automat, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
asymptotic stability; consensus; Lyapunov-Krasovskii functional (LKF); multiagent systems; time-varying delays; ADAPTIVE SYNCHRONIZATION; DISTRIBUTED CONSENSUS; STABILITY-CRITERIA; COMPLEX NETWORKS; SUBJECT;
D O I
10.1002/rnc.4471
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 paper deals with the local consensus of multiagent systems with nonlinear dynamics communication delays simultaneously. By introducing a weighted average state and applying the properties of the Laplacian matrix eigenvalues, the system is decoupled into several subsystems, firstly, to reduce complexity of theory analysis. Then, a new augmented vector containing single and double integral terms is constructed and the corresponding Lyapunov functional with triple integral terms is introduced. Meanwhile, in order to improve the estimating accuracy of the derivatives of constructed Lyapunov functional, single integral inequalities and double integral inequalities via auxiliary functions, an extended relaxed integral inequality and an reciprocally convex approach are used, as a result, stability criterion with less conservatism is derived, which guarantees the local consensus of the considered systems. Finally, numerical examples are provided to check the improvement of the proposed method over the existing works.
引用
收藏
页码:1926 / 1940
页数:15
相关论文
共 40 条
[11]   Distributed consensus of multi-agent systems with nonlinear dynamics via adaptive intermittent control [J].
Li, Hongjie ;
Su, Hongye .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2015, 352 (10) :4546-4564
[12]   Adaptive Neural Networks Prescribed Performance Control Design for Switched Interconnected Uncertain Nonlinear Systems [J].
Li, Yongming ;
Tong, Shaocheng .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (07) :3059-3068
[13]   Hybrid Fuzzy Adaptive Output Feedback Control Design for Uncertain MIMO Nonlinear Systems With Time-Varying Delays and Input Saturation [J].
Li, Yongming ;
Tong, Shaocheng ;
Li, Tieshan .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 24 (04) :841-853
[14]   Distributed consensus and tracking control of second-order time-varying nonlinear multi-agent systems [J].
Li, Zhenxing ;
Ji, HaiBo .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017, 27 (17) :3549-3563
[15]   Designing Fully Distributed Consensus Protocols for Linear Multi-Agent Systems With Directed Graphs [J].
Li, Zhongkui ;
Wen, Guanghui ;
Duan, Zhisheng ;
Ren, Wei .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (04) :1152-1157
[16]   Multi-agent consensus with diverse time-delays and jointly-connected topologies [J].
Lin, Peng ;
Jia, Yingmin .
AUTOMATICA, 2011, 47 (04) :848-856
[17]   Stability analysis of neural networks with time-varying delay: Enhanced stability criteria and conservatism comparisons [J].
Lin, Wen-Juan ;
He, Yong ;
Zhang, Chuan-Ke ;
Wu, Min .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2018, 54 :118-135
[18]   Comparison of bounding methods for stability analysis of systems with time-varying delays [J].
Liu, Kun ;
Seuret, Alexandre .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (07) :2979-2993
[19]   Containment control of multi-agent systems by exploiting the control inputs of neighbors [J].
Liu, Shuai ;
Xie, Lihua ;
Zhang, Huanshui .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2014, 24 (17) :2803-2818
[20]   Leaderless consensus of multi-agent systems with Lipschitz nonlinear dynamics and switching topologies [J].
Liu, Wei ;
Zhou, Shaolei ;
Qi, Yahui ;
Wu, Xiuzhen .
NEUROCOMPUTING, 2016, 173 :1322-1329