Robust control design for hybrid systems based on Markovian jumping models

被引：0
|
作者：
Pakshin, PV [1 ]
Fomin, DM [1 ]
机构：
[1] Nizhny Novgorod State Tech Univ, Arzamas 607220, Russia
来源：
NEW TRENDS IN DESIGN OF CONTROL SYSTEMS 1997 | 1998年
关键词：
stochastic systems; jump process; Markov models; robust stability; robust control; optimal control; linear control; state feedback; output feedback; adaptive control;
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：
A. class of hybrid systems, which represented as a finite family of stochastic differential models is considered. Each model of this family describes the individual regime of the system. The transitions between these regimes are modelled by a homogeneous Markov chain. Both state and output feedback control laws are obtained, which guarantee stability in the mean square of closed-loop hybrid system for arbitrary transitions intensity and at the same time minimize a quadratic cost functional. An application to autopilot synthesis for high maneuvering aircraft is also given.
引用
收藏
页码：451 / 456
页数：6
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