Observer-based Time-varying Formation Tracking for One-sided Lipschitz Nonlinear Systems via Adaptive Protocol

被引:0
作者
Chenhang Yan
Wei Zhang
Xiaohang Li
Yuchen Qian
机构
[1] Shanghai University of Engineering Science,School of Mechnical and Automotive Engineering
来源
International Journal of Control, Automation and Systems | 2020年 / 18卷
关键词
Adaptive protocol; leader-following systems; one-sided Lipschitz systems; time-varying formation;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we investigate the problem of observer-based time-varying leader-following formation tracking for multi-agent systems with the one-sided Lipschitz and quadratic inner-boundedness nonlinear dynamics. An idea of the observer-based protocol with an edge-based adaptive law is designed for nonlinear systems, which enable agents to achieve a desired formation tracking when it cannot obtain the full state of the nonlinear system. In contrast to the previous nonlinear formation systems, the advantage of the developed method is that it is less conservative and more general for the nonlinear system with large Lipschitz constants. Besides, under the proposed adaptive law, the design of the protocol does not rely on the known communication topology. Finally, the simulation results for one leader and six followers are proposed to show the feasibility and effectiveness of the proposed method in the nonlinear time-varying formation system.
引用
收藏
页码:2753 / 2764
页数:11
相关论文
共 142 条
  • [1] Su H(2019)A stochastic sampling mechanism for time-varying formation of multiagent systems with multiple leaders and communication delays IEEE Trans. on Neural Networks and Learning Systems 30 3699-3707
  • [2] Zhang J(2013)Consensus of multiagent systems with general linear and Lipschitz nonlinear dynamics using distributed adaptive protocols IEEE Trans. on Automatic Control 58 1786-1791
  • [3] Chen X(2019)Asynchronous finite-time filtering of networked switched systems and its application: an event-driven method IEEE Trans. on Circuits and Systems I: Regular Papers 66 391-402
  • [4] Li Z(2018)Positive edge consensus of complex networks IEEE Trans. on Systems, Man, and Cybernetics: Systems 48 2242-2250
  • [5] Ren W(2019)Positive edge-consensus for nodal networks via output feedback IEEE Trans. on Automatic Control 64 1244-1249
  • [6] Liu X(2018)Observer-Based robust coordinated control of multiagent systems with input saturation IEEE Trans. on Neural Networks and Learning Systems 29 1933-1946
  • [7] Fu M(2018)Distributed IEEE Trans. on Industrial Electronics 65 4145-4155
  • [8] Ren H(2020) output-feedback control for consensus of heterogeneous linear multiagent systems with aperiodic sampled-data communications IET Control Theory Applications 14 352-357
  • [9] Zong G(2019)Observer-based positive edge consensus for directed nodal networks International Journal of Control, Automation and Systems 17 1494-1506
  • [10] Karimi H R(2017)Formation control with multiple leaders via event-triggering transmission strategy International Journal of Control, Automation and Systems 15 85-94