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首页> 外文期刊>IEEE Transactions on Fuzzy Systems >A Novel Robust Fuzzy Integral Sliding Mode Control for Nonlinear Semi-Markovian Jump T–S Fuzzy Systems
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A Novel Robust Fuzzy Integral Sliding Mode Control for Nonlinear Semi-Markovian Jump T–S Fuzzy Systems

机译:非线性半马尔可夫跳跃TS模糊系统的新型鲁棒模糊积分滑模控制

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摘要

This paper addresses the issue of robust fuzzy sliding mode control for continuous-time nonlinear Takagi–Sugeno fuzzy systems with semi-Markovian switching. The focus is on designing a novel fuzzy integral sliding surface without assuming that the input matrices are the same with full column rank and then developing a fuzzy sliding-mode controller for stochastic stability purpose. Based on Lyapunov theory, a set of newly developed linear matrix inequality conditions are established for stochastic stability of the sliding-mode dynamics with generally uncertain transition rates, and then extended to where the input matrix is plant-rule-independent, as discussed in most existing literatures. Furthermore, finite-time reachability of the sliding surface is also guaranteed by the proposed fuzzy sliding-mode control laws. A practical example is provided to demonstrate the effectiveness of the established method numerically.
机译:本文讨论了具有半马尔可夫切换的连续时间非线性Takagi-Sugeno模糊系统的鲁棒模糊滑模控制问题。重点是在不假设输入矩阵与整个列秩相同的情况下设计新颖的模糊积分滑动表面,然后开发用于随机稳定性目的的模糊滑动模式控制器。基于李雅普诺夫理论,建立了一组新开发的线性矩阵不等式条件,用于通常具有不确定过渡率的滑模动力学的随机稳定性,然后扩展到输入矩阵与植物规则无关的地方,如大多数现有文献。此外,所提出的模糊滑模控制定律还保证了滑动表面的有限时间可达性。提供了一个实际示例,以数字方式证明所建立方法的有效性。

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