A method is presented to construct the largest set of parameter variations for any asymptotically stable (convergent) matrix, whose corresponding set of perturbed matrices remains stable.
Robust quadratic optimization of systems with large parameter variations
β Scribed by Mansour Eslami
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 791 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0143-2087
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper is concerned with the sensitivity of a linear system-quadratic type cost functional to large parameter variations in the description of the linear system. For some class of parameter variations e and some real number p, the concept of p-sensitivity is introduced: /)-sensitivity occurs ff
In this paper, we present a linear quadratic design for uncertain systems in state space representation. The parameter uncertainty is structured and value bounded. We show also that with a controller of this type, the optimality of the LQ regulator is preserved in the presence of uncertainty.
Conditions for optimality and robustness of nonlinear systems are formulated for both centralized and decentralized LQ control laws.