控制理论(社会学)
瞬态(计算机编程)
有界函数
非线性系统
自适应控制
李雅普诺夫函数
跟踪误差
计算机科学
功能(生物学)
瞬态响应
控制(管理)
数学
工程类
量子力学
进化生物学
生物
操作系统
电气工程
物理
数学分析
人工智能
作者
Weijie Sun,Zhenhua Zhu,Jianglin Lan,Yunjian Peng
标识
DOI:10.1177/0142331219886411
摘要
This paper is dedicated to adaptive output regulation for a class of nonlinear systems with asymptotic output tracking and guarantee of prescribed transient performance. With the employment of internal model principle, we first transform this problem into a specific adaptive stabilization problem with output constraints. Then, by integrating the time-varying Barrier Lyapunov Function (BLF) technique together with the high gain feedback method, we develop an output-based control law to solve the constrained stabilization problem and consequently confine the output tracking error to a predefined arbitrary region. The output-based control law enables adaptive output regulation in the sense that, under unknown exosystem dynamics, all the closed-loop system signals are bounded whilst the controlled output constraints are not violated. Finally, efficacy of the proposed design is illustrated through a simulation example.
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