Add to ORKGdomenico.f amularo(Dunica1. it {chaouki,alij,peter}Oeece.unm.edu wassim.haddad0aerospace.gatech.edu This paper describes the synthesis of non-fragile or re-silient regulators for linear systems. The general frame-work for fragility is described using state-space method-ologies, and the LQ/Xz static state-feedback case is ex-amined in detail. We discuss the multiplicative structured uncertainties case, and propose remedies of the fragility problem using a convex programming framework (LMIs) as a possible solution scheme. The benchmark problem is taken as an example to show how controller gain varia-tions can affect the performance of the closed-loop system
We analyse the very general class of uncertain systems that have Linear Fractional Representations (...
This paper presents a convex optimization-based solution to the design of state-feedback controllers...
Recently, propositions of new conditions necessary and sufficient in the controller’s synthesis, bas...
Digital Object Identifier : 10.1109/ACC.1998.703583This paper describes the synthesis of non-fragil...
Pre-printThis paper describes the synthesis of Non-fragile or Resilient regulators for linear system...
International audienceA new approach has been exposed recently for the synthesis of sets of controll...
This paper is concerned with the problem of robust peak-to-peak gain minimization by linear matrix i...
Digital Object Identifier : 10.1109/ACC.1998.688374In this article, we introduce a robust nonfragil...
The implementation of a controller, if not exact, may lead to the so-called fragility problem, i.e. ...
International audienceThis paper deals with the quadratic stabilization of discrete-time LTI systems...
This paper deals with a design problem of robust non-fragile stabilizing controllers with guaranteed...
This paper is concerned with the problem of robust peak-to-peak gain minimization (the L-1 or L-infi...
International audienceThis paper adresses the problem of static output-feedback stabilization for li...
This thesis investigates into the resilient (non-fragile) and reliable controller designs for discre...
Key Words-Robust control; state feedback; convex programming. Abstmet-This paper considers robust pe...
We analyse the very general class of uncertain systems that have Linear Fractional Representations (...
This paper presents a convex optimization-based solution to the design of state-feedback controllers...
Recently, propositions of new conditions necessary and sufficient in the controller’s synthesis, bas...
Digital Object Identifier : 10.1109/ACC.1998.703583This paper describes the synthesis of non-fragil...
Pre-printThis paper describes the synthesis of Non-fragile or Resilient regulators for linear system...
International audienceA new approach has been exposed recently for the synthesis of sets of controll...
This paper is concerned with the problem of robust peak-to-peak gain minimization by linear matrix i...
Digital Object Identifier : 10.1109/ACC.1998.688374In this article, we introduce a robust nonfragil...
The implementation of a controller, if not exact, may lead to the so-called fragility problem, i.e. ...
International audienceThis paper deals with the quadratic stabilization of discrete-time LTI systems...
This paper deals with a design problem of robust non-fragile stabilizing controllers with guaranteed...
This paper is concerned with the problem of robust peak-to-peak gain minimization (the L-1 or L-infi...
International audienceThis paper adresses the problem of static output-feedback stabilization for li...
This thesis investigates into the resilient (non-fragile) and reliable controller designs for discre...
Key Words-Robust control; state feedback; convex programming. Abstmet-This paper considers robust pe...
We analyse the very general class of uncertain systems that have Linear Fractional Representations (...
This paper presents a convex optimization-based solution to the design of state-feedback controllers...
Recently, propositions of new conditions necessary and sufficient in the controller’s synthesis, bas...