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.
Constrained control for uncertain discrete-time linear systems
β Scribed by Luca Benvenuti; Lorenzo Farina
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 141 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1049-8923
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β¦ Synopsis
In this paper the problem of stabilizing uncertain linear discrete-time systems under state and control linear constraints is studied. Many formulations of this problem have been given in the literature. Here we consider the case of finding a linear state feedback control law making a given polytope in the state space positively invariant while the control remains bounded within prefixed values under the effect of all the uncertainty sequences belonging to a given polytope in the perturbations space. A necessary and sufficient condition for the existence of a solution of this problem is first given. This condition leads to a set of linear constraints which can be solved using linear programming tecniques by defining an appropriate objective function. A worked example shows the effectiveness of the proposed algorithm.
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