Robust Formation Maneuvers Through Sliding Mode for Multi-agent Systems With Uncertainties

被引:32
作者
Qian, Dianwei [1 ]
Li, Chengdong [2 ]
Lee, SukGyu [3 ]
Ma, Chao [1 ]
机构
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
[2] Shandong Jianzhu Univ, Sch Informat & Elect Engn, Jinan 250101, Shandong, Peoples R China
[3] Yeungnam Univ, Dept Elect Engn, Gyongsan 712749, South Korea
基金
中国国家自然科学基金;
关键词
Formation control; multi-agent systems; nonlinear disturbance observer; sliding mode; uncertainties; LEADER-FOLLOWING CONTROL; CONSENSUS CONTROL; NEURAL-NETWORKS; MOBILE ROBOTS; TOPOLOGY; DESIGN;
D O I
10.1109/JAS.2017.7510787
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 develops a robust control method for formation maneuvers of a multi-agent system. The multi-agent system is leader-follower-based, where the graph theory is utilized to describe the information exchange among the agents. The control method is exercised via sliding mode methodology where each agent is subjected to uncertainties. The technique of nonlinear disturbance observer is adopted in order to overcome the adverse effects of the uncertainties. Assuming that the uncertainties have an unknown bound, the formation stability conditions are investigated according to a given communication topology. In the sense of Lyapunov, not only the formation maneuvers of the multi-agent system have guaranteed stability, but the desired formations of the agents are also realized. Compared with other two control approaches, i.e., the basic sliding mode approach and the fuzzy sliding mode approach, some numerical results are presented to illustrate the effectiveness, performance and validity of the robust control method for formation maneuvers in the presence of uncertainties.
引用
收藏
页码:342 / 351
页数:10
相关论文
共 27 条
[1]   A Novel Robust Leader-Following Control Design for Mobile Robots [J].
Biglarbegian, Mohammad .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2013, 71 (3-4) :391-402
[2]  
Chang YH, 2014, INT J FUZZY SYST, V16, P121
[3]   Fuzzy Sliding-Mode Formation Control for Multirobot Systems: Design and Implementation [J].
Chang, Yeong-Hwa ;
Chang, Chia-Wen ;
Chen, Chun-Lin ;
Tao, Chin-Wang .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 42 (02) :444-457
[4]   Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks [J].
Chen, C. L. Philip ;
Wen, Guo-Xing ;
Liu, Yan-Jun ;
Wang, Fei-Yue .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (06) :1217-1226
[5]   Human-Agent Teaming for Multirobot Control: A Review of Human Factors Issues [J].
Chen, Jessie Y. C. ;
Barnes, Michael J. .
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2014, 44 (01) :13-29
[6]   Disturbance-Observer-Based Control and Related Methods-An Overview [J].
Chen, Wen-Hua ;
Yang, Jun ;
Guo, Lei ;
Li, Shihua .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (02) :1083-1095
[7]   Containment Control of Multiagent Systems With Dynamic Leaders Based on a PIn-Type Approach [J].
Cheng, Long ;
Wang, Yunpeng ;
Ren, Wei ;
Hou, Zeng-Guang ;
Tan, Min .
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (12) :3004-3017
[8]   On Convergence Rate of Leader-Following Consensus of Linear Multi-Agent Systems With Communication Noises [J].
Cheng, Long ;
Wang, Yunpen ;
Ren, Wei ;
Hou, Zeng-Guang ;
Tan, Min .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 61 (11) :3586-3592
[9]   Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems with Uncertainties [J].
Cheng, Long ;
Hou, Zeng-Guang ;
Tan, Min ;
Lin, Yingzi ;
Zhang, Wenjun .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (08) :1351-1358
[10]   Symmetric caging formation for convex polygonal object transportation by multiple mobile robots based on fuzzy sliding mode control [J].
Dai, Yanyan ;
Kim, YoonGu ;
Wee, SungGil ;
Lee, DongHa ;
Lee, SukGyu .
ISA TRANSACTIONS, 2016, 60 :321-332