stability and robustness analysis problems to nondifferentiable convex programs. They have also provided efficient numerical methods to solve the resulting convex programs. In particular, the results in [2] can unambiguously determine whether an uncertain system with scalar uncertain diagonal blocks is QS(A,). Some of these ideas can also be extended to synthesis problems. See, for example, Bemussou et al. [ l] and Packard and Becker [9] for the solution of a state-feedback quadratic stabiliz-ability problem, in the presence of real uncertain parameters, via convex programming
The stability and performance analysis of dynamic systems affected by structured uncertainties usua...
Key Words-Robust control; state feedback; convex programming. Abstmet-This paper considers robust pe...
We study robust convex quadratically constrained quadratic programs where the uncertain problem para...
In this paper we study robust convex quadratically constrained programs, a subset of the class of ro...
Abstract This paper deals with convex optimization problems in the face of data uncertainty within t...
Theme 4 - Simulation et optimisation de systemes complexes - Projet SossoSIGLEAvailable from INIST (...
We treat in this paper Linear Programming (LP) problems with uncertain data. The focus is on uncerta...
In this paper, a convex parameterization methodology is presented for the problem of robust stabiliz...
We treat in this paper linear programming (LP) problems with uncertain data. The focus is on uncerta...
A numerical synthesis method for optimally robust control isproposed. The method applies to the case...
This book presents a number of techniques for robustness analysis of uncertain systems. The theoreti...
The first part of this paper studies a specific class of uncertain quadratic and linear programs, wh...
Necessary and sufficient conditions for quadratic stabilizability of uncertain systems are developed...
This paper studies the problem of robust controller design for systems with integral quadratic const...
We derive computationally tractable formulations of the robust counterparts of convex quadratic and ...
The stability and performance analysis of dynamic systems affected by structured uncertainties usua...
Key Words-Robust control; state feedback; convex programming. Abstmet-This paper considers robust pe...
We study robust convex quadratically constrained quadratic programs where the uncertain problem para...
In this paper we study robust convex quadratically constrained programs, a subset of the class of ro...
Abstract This paper deals with convex optimization problems in the face of data uncertainty within t...
Theme 4 - Simulation et optimisation de systemes complexes - Projet SossoSIGLEAvailable from INIST (...
We treat in this paper Linear Programming (LP) problems with uncertain data. The focus is on uncerta...
In this paper, a convex parameterization methodology is presented for the problem of robust stabiliz...
We treat in this paper linear programming (LP) problems with uncertain data. The focus is on uncerta...
A numerical synthesis method for optimally robust control isproposed. The method applies to the case...
This book presents a number of techniques for robustness analysis of uncertain systems. The theoreti...
The first part of this paper studies a specific class of uncertain quadratic and linear programs, wh...
Necessary and sufficient conditions for quadratic stabilizability of uncertain systems are developed...
This paper studies the problem of robust controller design for systems with integral quadratic const...
We derive computationally tractable formulations of the robust counterparts of convex quadratic and ...
The stability and performance analysis of dynamic systems affected by structured uncertainties usua...
Key Words-Robust control; state feedback; convex programming. Abstmet-This paper considers robust pe...
We study robust convex quadratically constrained quadratic programs where the uncertain problem para...