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Integral Sliding Mode Control for Markovian Jump T-S Fuzzy Descriptor Systems Based on the Super-Twisting Algorithm

机译:基于超扭曲算法的马尔可夫跳跃TS模糊描述系统的整体滑模控制

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摘要

This paper investigates integral sliding mode control problems for Markovian jump T-S fuzzy descriptor systems via the super-twisting algorithm. A new integral sliding surface which is continuous is constructed and an integral sliding mode control scheme based on a variable gain super-twisting algorithm is presented to guarantee the well-posedness of the state trajectories between two consecutive switchings. The stability of the sliding motion is analyzed by considering the descriptor redundancy and the properties of fuzzy membership functions. It is shown that the proposed variable gain super-twisting algorithm is an extension of the classical single-input case to the multi-input case. Finally, a bio-economic system is numerically simulated to verify the merits of the method proposed.
机译:通过超扭曲算法研究了马尔可夫跳跃T-S模糊描述符系统的积分滑模控制问题。构造了一个连续的新的整体滑动表面,并提出了一种基于可变增益超扭曲算法的整体滑动模式控制方案,以保证两个连续切换之间的状态轨迹的适定性。通过考虑描述符冗余和模糊隶属函数的性质来分析滑动运动的稳定性。结果表明,所提出的可变增益超扭曲算法是经典单输入情况到多输入情况的扩展。最后,对生物经济系统进行了数值模拟,以验证所提出方法的优点。

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