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相对阶大于1的非线性多智能体的全局鲁棒协同输出调节问题需要用递归方法构造出分布式控制器.当系统的不确定参数和外加输入可以任意大时,单凭鲁棒控制技术不足以解决问题.本文尝试结合鲁棒与自适应动态高增益等控制技术来解决相对阶为2的输出反馈型非线性多智能体系统在不确定参数和外加输入可以任意大时的全局鲁棒协同输出调节问题.本文的理论结果已应用于求解超混沌(hyper-chaotic)Lorenz多智能体系统的一致性分布控制问题.
The problem of global robust cooperative output adjustment for nonlinear multi-agent with relative order greater than 1 requires the recursive method to construct a distributed controller. When the system’s uncertain parameters and external inputs can be arbitrarily large, robust control technology alone To solve the problem.This paper attempts to solve the problem of robust robust and adaptive dynamic high gain control techniques to solve the global robust coordination of uncertain nonlinear system and output when the relative order of the output feedback nonlinear multi-agent system is 2 The output adjustment problem.The theoretical results of this paper have been applied to the problem of the uniform distribution control of hyper-chaotic Lorenz multi-agent system.