Finite-time formation control of nonaffine nonlinear systems under directed communication interactions

被引:3
|
作者
Li, Yue [1 ]
Gao, Qing [2 ,3 ]
Yang, Ruohan [4 ]
Liu, Hao [5 ]
机构
[1] Northwestern Polytech Univ, Sch Astronaut, Xian 710072, Peoples R China
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[3] Zhongguancun Lab, Beijing 100190, Peoples R China
[4] Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Peoples R China
[5] Beihang Univ, Inst Artificial Intelligence, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
TO-STATE STABILITY; TRACKING CONTROL; MULTIAGENT SYSTEMS; FIXED-TIME; MULTIPLE QUADROTORS; CONTAINMENT CONTROL; MECHANICAL SYSTEMS; ADAPTIVE-CONTROL; OUTPUT-FEEDBACK; STABILIZATION;
D O I
10.1016/j.jfranklin.2023.05.016
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 studies the problem of finite-time formation tracking control for networked nonaffine nonlinear systems with unmeasured dynamics and unknown uncertainties/disturbances under directed topology. A unified distributed control framework is proposed by integrating adaptive backstepping control, dynamic gain control and dynamic surface control based on finite-time theory and consensus theory. Auxiliary dynamics are designed to construct control gains with non-Lipschitz dynamics so as to guarantee finite-time convergence of formation errors. Adaptive control is used to compensate for uncertain control efforts of the transformed systems derived from original nonaffine systems. It is shown that formation tracking is achieved during a finite-time period via the proposed controller, where frac- tional power terms are only associated with auxiliary dynamics instead of interacted information among the networked nonlinear systems in comparison with most existing finite-time cooperative controllers. Moreover, the continuity of the proposed controller is guaranteed by setting the exponents of fractional powers to an appropriate interval. It is also shown that the improved dynamic surface control method could guarantee finite-time convergence of formation errors, which could not be accomplished by con- ventional dynamic surface control. Finally, simulation results show the effectiveness of the proposed control scheme.(c) 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:7180 / 7205
页数:26
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