基于观测器的不确定非线性时滞系统自适应模糊控制

Jipeng Zhao, Shaocheng Tong, Yong-ming Li
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引用次数: 0

摘要

研究了一种基于观测器的不确定非线性时滞系统的模糊自适应控制问题,该系统具有未知的虚增益和实增益。利用Lyapunov-Krasovskii函数消除未知时滞。为了估计不确定非线性函数,引入了模糊逻辑系统(FLSs)。然后设计了模糊状态观测器来处理不可用状态问题。利用回溯控制技术和有界控制方法,提出了一种基于观测器的模糊自适应回溯控制方法。利用对数李雅普诺夫函数证明了所提控制方法的合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observer-based Adaptive Fuzzy Control for Uncertain Nonlinear time-delay systems
This work studies an observer-based fuzzy adaptive control problem for the uncertain nonlinear time-delay systems with unknown virtual and actual control gain functions. The Lyapunov-Krasovskii function is utilized to eliminate the unknown time delays. In order to estimate the uncertain nonlinear functions, Fuzzy Logic Systems(FLSs) are quoted. Then the fuzzy state observer is devised to handle the unavailable state issue. By using the backstepping control technique and bounded control method, a novel observer-based fuzzy adaptive backstepping control approach is developed. The rationality of the presented control methods is demonstrated by means of the Logarithm Lyapunov functions.
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