H2 State Feedback Sampled-data Control for Markov Jump Linear Systems

被引：0

作者：

Gabriel, Gabriela W. ^{[1
]}

Souza, Matheus ^{[1
]}

Geromel, Jose C. ^{[1
]}

机构：

[1] Univ Estadual Campinas, Sch Elect & Comp Engn, Campinas, SP, Brazil

来源：

2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is entirely devoted to analyzing the H-2 optimal state feedback sampled-data control design problem for Markov Jump Linear Systems. Our propose is to search for a solution to this problem by imbedding it in a more general class of dynamical systems, which we call Hybrid Markov Jump Linear System (HMJLS). In this new and wide context, we show how to calculate a sampled-data state feedback control that minimizes the H-2 performance index associated to the closed-loop system from the solution of a specific two-point boundary value problem. This result is adapted to provide optimal control conditions based on linear matrix inequalities (LMIs). The theory is illustrated by means of an academical example.

引用

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页码：4355 / 4360

页数：6

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