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Robust fuzzy-model-based sliding mode controller for uncertain nonlinear input-delay systems

机译:不确定非线性输入-延迟系统的基于模糊模型的鲁棒滑模控制器

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This paper presents a robust sliding mode controller design algorithm for uncertain nonlinear input-delay systems using fuzzy model. For many practical systems, the existence of time delays and uncertainties is common in control practice. Therefore the problem of controlling such systems becomes more complex and sometimes degrades the control performance. Using the Takagi-Sugeno fuzzy model, it is to combine some simple local linear input-delay systems with their linguistic description to represent the original nonlinear input-delay system. Based on the Lyapunov theory and the concept of functional analysis, the conditions of the robust stability of the overall closed-loop system with uncertainties and an input time delay will be derived.
机译:本文提出了一种基于模糊模型的不确定非线性输入-时滞系统鲁棒滑模控制器设计算法。对于许多实际系统,在控制实践中通常存在时间延迟和不确定性。因此,控制此类系统的问题变得更加复杂,有时会降低控制性能。使用Takagi-Sugeno模糊模型,是将一些简单的局部线性输入-延迟系统与其语言描述相结合,以表示原始的非线性输入-延迟系统。基于李雅普诺夫理论和泛函分析的概念,推导了具有不确定性和输入时滞的整个闭环系统鲁棒稳定性的条件。

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