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.
Optimality and robustness of linear quadratic control for nonlinear systems
✍ Scribed by M. Ikeda; D.D. Šiljak
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 961 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
✦ Synopsis
Conditions for optimality and robustness of nonlinear systems are formulated for both centralized and decentralized LQ control laws.
📜 SIMILAR VOLUMES
This paper deals with the problem of how to render the jump linear quadratic (JLQ) control robust. Mainly, we present sufficient conditions for quadratic stabilization and guaranteed cost control of uncertain jump linear system using state feedback control. The proposed control law contains two comp
The design of robust stabilizing controllers for uncertain nonlinear systems has been investigated. Uncertainties including uncertain parameters and structured uncertainties, caused by the mismatch between the mathematical model and the true process, are considered. Two strategies are proposed; a no
In this paper, a stability criterion for nonlinear stochastic multivariable feedback systems is derived. An algorithm is proposed to choose two appropriate dependent weighting matrices of LQG (linear-quadratic-Gaussian) performance index shaped by the inverse LQC method to satisfy the stability crit