Sufficient and Necessary Condition for Stabilization of Jump Linear Systems with Noise

被引：0
|
作者：
Feng, Liu [1 ]
Liu, Z. [1 ]
Dong, H. B. [2 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Cent Univ Finance & Econ, Beijing 100044, Peoples R China
来源：
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词：
Stabilization; Nonlinear Kalman filter; jump linear systems; ADAPTIVE-CONTROL; PARAMETERS;
D O I：
10.1109/ICNC.2010.5583487
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The adaptive stabilization problem of linear systems with unknown parameters and noise models is studied in this paper, we investigate continuous time jump linear systems with a finite-state hidden Markov jump form process. A sufficient and necessary condition characterizing the adaptive stabilizability of the system is found. It is worth mentioning that a constructive method for designing stabilizing feedback law is provided in this paper.
引用
收藏
页码：2804 / +
页数：2
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