Most realistic control problems involve both some of time-domain constraints and model uncertainty. However, the majority of controller design procedures currently available focus only on one aspect of the problem, with only a handful of methods capable of simultaneously addressing both issues. Recently, it has been proposed to address this class of problems by using a \u27constrained robustness measure,\u27 generated by a constraint-set induced operator norm, to assess the stability properties of a family of systems. In this paper the properties of this constrained-robustness measure are explored and the theoretical framework is extended to include control as well as state constraints. These results are applied to the problem of designing ...
This thesis is concerned with the Robust Model Predictive Control (RMPC) of linear discrete-time sys...
Predictive control is a very useful tool in controlling constrained systems, since the constraints c...
This thesis presents a novel approach to robust controller design. It describes how linear constrain...
Most realistic control problems involve both some type of time-domain constraints and model uncertai...
Most realistic control problems involve some type of constraint. However, to date, all the algorithm...
The authors propose a framework that takes explicitly into account both time-domain constraints and ...
Most realistic control problems involve some type of con- straint. However, to date, all the algorit...
A simple design procedure is proposed that takes explicitly into account both time domain constraint...
Most realistic control problems involve both some type of time-domain constraints and model uncertai...
Most realistic control problems involve some types of constraints. However, up to date all the ...
This paper considers the problem of L-p stability checking for a feedback uncertain system which con...
Most practical control problems are dominated by constraints. Although a rich theory has been develo...
In this paper, we develop a unified framework for studying constrained robust optimal control proble...
The purpose of this paper is to combine several control requirements in the same regulator design pr...
This thesis is concerned with the analysis of dynamical systems in the presence of model uncertainty...
This thesis is concerned with the Robust Model Predictive Control (RMPC) of linear discrete-time sys...
Predictive control is a very useful tool in controlling constrained systems, since the constraints c...
This thesis presents a novel approach to robust controller design. It describes how linear constrain...
Most realistic control problems involve both some type of time-domain constraints and model uncertai...
Most realistic control problems involve some type of constraint. However, to date, all the algorithm...
The authors propose a framework that takes explicitly into account both time-domain constraints and ...
Most realistic control problems involve some type of con- straint. However, to date, all the algorit...
A simple design procedure is proposed that takes explicitly into account both time domain constraint...
Most realistic control problems involve both some type of time-domain constraints and model uncertai...
Most realistic control problems involve some types of constraints. However, up to date all the ...
This paper considers the problem of L-p stability checking for a feedback uncertain system which con...
Most practical control problems are dominated by constraints. Although a rich theory has been develo...
In this paper, we develop a unified framework for studying constrained robust optimal control proble...
The purpose of this paper is to combine several control requirements in the same regulator design pr...
This thesis is concerned with the analysis of dynamical systems in the presence of model uncertainty...
This thesis is concerned with the Robust Model Predictive Control (RMPC) of linear discrete-time sys...
Predictive control is a very useful tool in controlling constrained systems, since the constraints c...
This thesis presents a novel approach to robust controller design. It describes how linear constrain...