Formation control for multiple nonlinear autonomous agents based on iterative method

Xi-xin Yang, Shiyuan Han, Dong Wang, Jin Zhou
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引用次数: 0

Abstract

This paper is concerned with approximate optimal formation control for multiple nonlinear autonomous agents based on iterative method. By designing some concatenation vectors, a whole multi-agent system is obtained, and the original formation control problem is transformed into a classic tracking problem. Based on the classic optimal tracking control theories, the optimal formation control problem is viewed as a two-point boundary value problem. Then, the approximate formation controller is obtained by using the successive approximation approach, which composes of analytic feedback terms and a compensation term. The compensation term can be obtained by calculating an iteration adjoint vectors. By introducing a finite term of the adjoint vector sequence, an approximate formation controller is designed. Simulation results show that the proposed approximate formation controller produces the better value of control performances.
基于迭代法的多非线性自治智能体编队控制
本文研究了基于迭代法的多非线性自治主体近似最优群体控制问题。通过设计一些串联向量,得到一个完整的多智能体系统,将原有的编队控制问题转化为经典的跟踪问题。基于经典的最优跟踪控制理论,将最优编队控制问题视为两点边值问题。然后,采用由解析反馈项和补偿项组成的逐次逼近方法,得到近似的编队控制器。补偿项可以通过计算迭代伴随向量得到。通过引入伴随向量序列的有限项,设计了近似的群体控制器。仿真结果表明,所提出的近似编队控制器具有较好的控制性能值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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