Second-order consensus for a class of uncertain multi-agent systems subject to input saturation

被引:12
作者
Fan, Ming-Can [1 ]
Wang, Miaomiao [2 ]
机构
[1] Huizhou Univ, Dept Math, Huizhou 516007, Guangdong, Peoples R China
[2] Univ Western Ontario, Dept Elect & Comp Engn, London, ON, Canada
基金
中国国家自然科学基金;
关键词
Adaptive consensus; distributed control; input saturation; multi-agent systems; unknown control coefficients; LEADER-FOLLOWING CONSENSUS; SEMIGLOBAL CONSENSUS; COOPERATIVE CONTROL; ADAPTIVE CONSENSUS; CONTROL DIRECTIONS; ALGORITHMS; AGENTS;
D O I
10.1177/0142331218791237
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 investigates the leaderless and leader-following consensus problem for a class of second-order multi-agent systems subject to input saturation, that is, the control input is required to be a priori bounded. Moreover, the control coefficients are assumed to be unavailable, which cannot be lower or upper bounded by any known constants. Distributed consensus protocols are proposed based only on agents' own velocity state information and relative position state information among neighbouring agents and the leader. By virtue of the adaptive control technique, algebraic graph theory and Barbalat's lemma, it is proved that the states of the multi-agent systems can achieve consensus under the assumption that the interconnection topology is undirected and connected. Finally, two simulation examples are provided to illustrate the effectiveness of the theoretical results.
引用
收藏
页码:1957 / 1964
页数:8
相关论文
共 33 条
[1]   On consensus algorithms for double-integrator dynamics without velocity measurements and with input constraints [J].
Abdessameud, Abdelkader ;
Tayebi, Abdelhamid .
SYSTEMS & CONTROL LETTERS, 2010, 59 (12) :812-821
[2]   An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination [J].
Cao, Yongcan ;
Yu, Wenwu ;
Ren, Wei ;
Chen, Guanrong .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (01) :427-438
[3]   Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function [J].
Chen, Weisheng ;
Li, Xiaobo ;
Ren, Wei ;
Wen, Changyun .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (07) :1887-1892
[4]   Algorithms and Experiments on Flocking of Multiagents in a Bounded Space [J].
Chen, Zhiyong ;
Zhang, Hai-Tao ;
Fan, Ming-Can ;
Wang, Dan ;
Li, Dinggen .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2014, 22 (04) :1544-1549
[5]   Distributed Consensus of Multi-Agent Systems With Input Constraints: A Model Predictive Control Approach [J].
Cheng, Zhaomeng ;
Zhang, Hai-Tao ;
Fan, Ming-Can ;
Chen, Guanrong .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2015, 62 (03) :825-834
[6]   Adaptive consensus tracking for linear multi-agent systems with input saturation [J].
Chu, Hongjun ;
Zhang, Weidong .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2016, 38 (12) :1434-1441
[7]   Finite-time convergent gradient flows with applications to network consensus [J].
Cortés, Jorge .
AUTOMATICA, 2006, 42 (11) :1993-2000
[8]   Global leader-following consensus of nonlinear multi-agent systems with unknown control directions and unknown external disturbances [J].
Fan, Ming-Can ;
Wu, Yue .
APPLIED MATHEMATICS AND COMPUTATION, 2018, 331 :274-286
[9]   Distributed Semiglobal Consensus With Relative Output Feedback and Input Saturation Under Directed Switching Networks [J].
Fan, Ming-Can ;
Zhang, Hai-Tao ;
Lin, Zongli .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2015, 62 (08) :796-800
[10]   Semi-Global Consensus of Nonlinear Second-Order Multi-Agent Systems With Measurement Output Feedback [J].
Fan, Ming-Can ;
Chen, Zhiyong ;
Zhang, Hai-Tao .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (08) :2222-2227