Abstract

In this article, the problem of sampled-data control is considered for fuzzy Markovian jump systems (FMJSs) with actuator saturation. Firstly, the mode-dependent lyapunov functional is constructed, which consists of a two-sided closed-loop function. On the basis of this function, stochastically stable criteria are presented in the form of linear matrix inequalities (LMIs). Then, based on the stochastically stable criteria, mode-dependent sampled-data controllers are designed for FMJSs. As a corollary, stable criteria and controller design are also proposed for the general aperiodic sampled-data linear system with actuator saturation. The improved LMI-based optimization conditions are obtained to estimate the region of attraction. Finally, numerical examples are provided to show the significant improvement of the presented method.

Highlights

  • As an important class of stochastic systems, Markovian jump systems (MJSs) play a very important role in describing different types of systems

  • In this article, the sampled-data control problem is considered for fuzzy Markovian jump systems (FMJSs) with actuator saturation

  • By employing the mode-dependent Lyapunov functional including a two-sided closed-loop function, stochastically stable criteria are presented in terms of linear matrix inequalities (LMIs)

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Summary

Introduction

As an important class of stochastic systems, Markovian jump systems (MJSs) play a very important role in describing different types of systems. Such as economic systems, engineering systems, communication systems, networked control systems and manufacturing systems [1]–[7]. Takagi-Sugeno (T-S) fuzzy models have attracted wide attention in industry and academia in recent decades [8]–[20]. Based on the Takagi-Sugeno fuzzy model method, the dissipative control problem was analyzed in [21]. The delay-dependent robust stabilization problem was researched about discrete-time FMJSs with time-varying delays in [22]. By using event-triggered strategy and the mode-dependent reliable control, the conditions of stability and controller

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