This paper considers the problem of constructing a controller which quadratically stabilizes an uncertain system and minimizes a guaranteed cost bound on a quadratic cost function. The solution is obtained via a parameter-dependent linear matrix inequality problem.
Stochastic stability and guaranteed cost control of discrete-time uncertain systems with Markovian jumping parameters
✍ Scribed by El-Kébir Boukas; Peng Shi
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 126 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1049-8923
No coin nor oath required. For personal study only.
✦ Synopsis
In this paper, we first study the problems of robust quadratic mean-square stability and stabilization for a class of uncertain discrete-time linear systems with both Markovian jumping parameters and Frobenius norm-bounded parametric uncertainities. Necessary and sufficient conditions for the above problems are proposed, which are in terms of positive-definite solutions of a set of coupled algebraic Riccati inequalities. Then, the problem of robust quadratic guaranteed cost control for the underlying systems is investigated. A guaranteed cost control is designed to ensure the cost function is within a certain bound, irrespective of all admissible uncertainities.
📜 SIMILAR VOLUMES