Direct adaptive fuzzy control for nonlinear systems with time-varying delays

Direct adaptive fuzzy control for nonlinear systems with time-varying delays
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时变非线性系统的直接自适应模糊控制

DOI:
10.1016/j.ins.2009.11.004
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发表时间:
2010-03
影响因子:
8.1
通讯作者:
Lin, Chong
Lin, Chong
中科院分区:
计算机科学1区
文献类型:
--
作者:
Liu, Kefu;Chen, Bing;Shi, Peng;Liu, Xiaoping;Lin, Chong

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研究具有时变时滞的非线性严格反馈系统的直接自适应模糊控制问题。基于Razumikhin函数法,设计了一种新型的自适应模糊控制器。所提出的控制器保证系统输出收敛到参考信号的一个小邻域内,并且闭环系统中的所有信号保持有界。与现有的自适应模糊控制方法不同,模糊逻辑系统被用来建模期望的但未知的控制信号,而不是系统中的未知非线性函数。因此,所提出的自适应控制器形式更简单,需要的自适应参数更少。
This paper focuses on the problem of direct adaptive fuzzy control for nonlinear strict-feedback systems with time-varying delays. Based on the Razumikhin function approach, a novel adaptive fuzzy controller is designed. The proposed controller guarantees that the system output converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. Different from the existing adaptive fuzzy control methodology, the fuzzy logic systems are used to model the desired but unknown control signals rather than the unknown nonlinear functions in the systems. As a result, the proposed adaptive controller has a simpler form and requires fewer adaptation parameters.
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