Sampled-Data Control of Large-Scale Fuzzy Interconnected Systems

Sampled-Data Control of Large-Scale Fuzzy Interconnected Systems

DOI: 10.4018/978-1-5225-2385-7.ch004
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Abstract

This chapter aims to study the sampled-data stabilization for large-scale fuzzy interconnected systems. We use two approaches to design the decentralized fuzzy sampled-data controller: Wirtinger's inequality and scaled small gain (SSG) theorem. Our aim is to derive the co-design consisting of the controller gains and sampled period in terms of a set of LMIs. Also, we consider the distributed sampled-data control problem, where the sampling periods among all subsystems may be different, and the actuator in each subsystem is time-driven. Finally, two simulation examples are provided to validate the advantage of the proposed methods.
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4.2 Decentralized Sample-Data Control

In this section, we study the decentralized sampled-data controller design for large-scale T-S fuzzy interconnected systems, and the co-design problem consisting of the controller gains and sampled period can be solved in terms of a set of LMIs.

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