Adaptive sliding mode control of multi-agent relay tracking systems with disturbances

被引:10
作者
Yu D. [1 ]
Dong L. [1 ,2 ]
Yan H. [1 ]
机构
[1] School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing
[2] Key Laboratory of Vehicle Advanced Manufacturing, Measuring and Control Technology, Ministry of Education, Beijing Jiaotong University, Beijing
基金
中国国家自然科学基金;
关键词
adaptive law; Multi-agent systems; relay tracking; sliding mode controller; switching topologies;
D O I
10.1080/23307706.2019.1679045
中图分类号
学科分类号
摘要
This paper studies the switching topologies and tracking agent replacements for a class of nonlinear multi-agent systems with external disturbances. In particular, it is assumed that a number of monitoring agents are randomly deployed in a two-dimensional space. The agents are committed to tracking any intrusion targets in this area. When one of the following agents exits tracking for some reasons, the agent closer to the target joins the tracking team to ensure the number of tracking agents does not change. In order to achieve the successful tracking of the target, this paper designs a sliding mode controller for the relay multi-agent system with tracking agent replacements. Furthermore, an adaptive law is proposed to estimate the upper bound of disturbance in the relay tracking process. Next, the stability of the overall system will be analysed by applying the multiple Lyapunov function method based on the average dwell time. Finally, the effectiveness of the tracking strategy is verified by numerical simulations. © 2019 Northeastern University, China.
引用
收藏
页码:165 / 174
页数:9
相关论文
共 26 条
[21]  
Yu W., Wang H., Hong H., Wen G., Distributed cooperative anti-disturbance control of multi-agent systems: an overview, Science China Information Sciences, 60, 11, (2017)
[22]  
Yuan C., Wu F., Cooperative state estimation of multi-agent systems subject to bounded external disturbances, International Journal of Systems Science, 49, 9, pp. 1985-1996, (2018)
[23]  
Zhang Y., Li S., Adaptive near-optimal consensus of high-order nonlinear multi-agent systems with heterogeneity, Automatica, 85, pp. 426-432, (2017)
[24]  
Zhang G., Xu J., Zeng J., Xi J., Tang W., Consensus of high-order discrete-time linear networked multi-agent systems with switching topology and time delays, Transactions of the Institute of Measurement and Control, 39, 8, pp. 1182-1194, (2017)
[25]  
Zhao L., Yu J., Lin C., Yu H., Distributed adaptive fixed-time consensus tracking for second-order multi-agent systems using modified terminal sliding mode, Applied Mathematics and Computation, 312, pp. 23-35, (2017)
[26]  
Zheng D., Zhang H., Zheng Q., Consensus analysis of multi-agent systems under switching topologies by a topology-dependent average dwell time approach, IET Control Theory and Applications, 11, 3, pp. 429-438, (2016)