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
收藏
页码：4355 / 4360
页数：6
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