控制理论(社会学)
稳健性(进化)
非线性系统
有界函数
自适应控制
李雅普诺夫函数
椭球体
鲁棒控制
跟踪误差
控制器(灌溉)
数学
计算机科学
控制(管理)
人工智能
基因
生物
物理
数学分析
量子力学
生物化学
化学
农学
天文
标识
DOI:10.1080/00207721.2021.1879964
摘要
A type of high-order fully actuated (HOFA) systems with both nonlinear uncertainties and time-varying unknown parameters is considered, and a direct approach for the designs of robust adaptive stabilising controllers and robust adaptive tracking controllers is proposed based on the Lyapunov stability theory. The established controller is composed of three parts, the basic part cancels the known nonlinearities in the system and simultaneously assigns the linear dominant term in the closed-loop system, the robustness part overcomes the effects of the nonlinear uncertainties in the system, and the adaptation part adjusts online the controller to suit the effect of the unknown time-varying parameter vector. The proposed controller guarantees that the tracking error of the state to a given signal and the estimation error of the parameter vector finally converge globally into a bounded ellipsoid. Particularly, in the case that the unknown parameter vector is constant, an adaptive scheme that enables global asymptotical tracking is presented. An example demonstrates the effect of the proposed approach.
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