控制理论(社会学)
观察员(物理)
非线性系统
控制器(灌溉)
自适应控制
功能(生物学)
匹配(统计)
国家观察员
计算机科学
非线性控制
数学
输出反馈
控制(管理)
人工智能
统计
物理
量子力学
进化生物学
农学
生物
作者
Yanwen Zhang,Shaoli Jin,Yibing Sun
标识
DOI:10.1177/09596518231191447
摘要
This article addresses the global adaptive output-feedback state regulation problem for a class of uncertain nonlinear systems with generalized control coefficients. Remarkably, the system under investigation simultaneously possesses function control coefficients, input matching uncertainty, and unknown growth rate, which is essentially different from the closely related existing literature. Such nonlinearities from function control coefficients and uncertainties from unknown growth rate bring great technical difficulties to controller design. A novel dynamic gain is introduced to deal with the extra system nonlinearities from function control coefficients and unknowns from the growth rate. In addition, the extended state observer is developed to reconstruct the unmeasured states of the system. By integrating the dynamic gain and extended state observer, an adaptive output-feedback controller is designed, which ensures that the states of the system globally converge to zero, and the estimation of the input matching uncertainty converges to its actual value. Two simulation examples are given to demonstrate the effectiveness of the proposed method.
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