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Finite-time H fuzzy control for Markovian Jump stochastic systems

机译:马尔可夫跳跃随机系统的有限时间H 模糊控制

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This paper deals with the problems of finite-time stochastic stabilization and finite-time H control for Markovian Jump stochastic systems via a fuzzy-control approach. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear stochastic system with Markovian jump parameters. The purpose of the finite-time stochastic stabilization problem is to design a state feedback fuzzy controller such that the closed-loop fuzzy system is finite-time stochastic stable. In the H control problem, in addition to the finite-time stochastic stability requirement, a prescribed performance is required to be achieved. Linear matrix inequalities (LMIs) sufficient conditions are developed to solve these problems, respectively. The expressions of desired state feedback fuzzy controllers are given.
机译:本文通过模糊控制的方法解决了马尔可夫跳跃随机系统的有限时间随机镇定和H时间控制问题。采用Takagi-Sugeno(T-S)模糊模型表示具有马尔可夫跳跃参数的非线性随机系统。有限时间随机镇定问题的目的是设计一种状态反馈模糊控制器,以使闭环模糊系统是有限时间随机稳定的。在H控制问题中,除了需要有限时间的随机稳定性外,还需要达到规定的性能。线性矩阵不等式(LMI)的充分条件分别解决了这些问题。给出了期望状态反馈模糊控制器的表达式。

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