控制理论(社会学)
非线性系统
输出反馈
自适应控制
计算机科学
反馈控制
控制(管理)
控制工程
人工智能
工程类
物理
量子力学
作者
Jianping Cai,Gang Chen,Xiushan Wu,Qingdong Yan,Jianning Li
标识
DOI:10.1002/adts.202301136
摘要
Abstract It is well known that unknown modeling errors cannot be avoided in practice. Such unmeasured uncertainties are usually denoted as unknown nonlinear functions that exist in every channel of the system equation. This paper aims to develop an output feedback adaptive control scheme by constructing state estimation filters to address such unknown modeling errors. In the controller design, these uncertainties caused by modeling errors will be accumulated to the last step for compensation. Unknown parameters existing in the upper bound functions of unknown nonlinear functions and system parameters are estimated synchronously based on tuning function approaches. It is shown that the designed output feedback controller can ensure the stability and tracking performance of the closed‐loop system, and the transient performance in terms of a truncated norm is also established.
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