The authors propose a framework that takes explicitly into account both time-domain constraints and model uncertainty. They propose an approach to time-domain constraints using an operator norm induced by the constraints to assess the stability properties of a family of systems. Specifically, they introduce a robustness measure that indicates how well the family of systems under consideration satisfies a given set of constraints. They propose a synthesis procedure based upon maximization of this robustness measure over the set of internally stable plants that satisfy additional frequency-domain specifications. The resulting optimization problem is exactly solved using a two-step approach based upon solving a constrained finite-dimensional c...
In this thesis, three performance problems in linear control systems are studied. Robust regulation ...
Most realistic control problems involve some types of constraints. However, up to date all the ...
The objective of this dissertation is to develop data-driven frequency-domain methods for designing ...
The authors propose a framework that takes explicitly into account both time-domain constraints and ...
A simple design procedure is proposed that takes explicitly into account both time domain constraint...
Most realistic control problems involve both some of time-domain constraints and model uncertainty. ...
Most realistic control problems involve both some type of time-domain constraints and model uncertai...
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...
Most realistic control problems involve some type of con- straint. However, to date, all the algorit...
A successful controller design paradigm must take into account both model uncertainty and performanc...
In this paper, we develop a unified framework for studying constrained robust optimal control proble...
Most realistic control problems involve both mixed time/frequency domain performance requirements an...
The first part of this paper studies a specific class of uncertain quadratic and linear programs, wh...
This thesis is concerned with the Robust Model Predictive Control (RMPC) of linear discrete-time sys...
In this thesis, three performance problems in linear control systems are studied. Robust regulation ...
Most realistic control problems involve some types of constraints. However, up to date all the ...
The objective of this dissertation is to develop data-driven frequency-domain methods for designing ...
The authors propose a framework that takes explicitly into account both time-domain constraints and ...
A simple design procedure is proposed that takes explicitly into account both time domain constraint...
Most realistic control problems involve both some of time-domain constraints and model uncertainty. ...
Most realistic control problems involve both some type of time-domain constraints and model uncertai...
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...
Most realistic control problems involve some type of con- straint. However, to date, all the algorit...
A successful controller design paradigm must take into account both model uncertainty and performanc...
In this paper, we develop a unified framework for studying constrained robust optimal control proble...
Most realistic control problems involve both mixed time/frequency domain performance requirements an...
The first part of this paper studies a specific class of uncertain quadratic and linear programs, wh...
This thesis is concerned with the Robust Model Predictive Control (RMPC) of linear discrete-time sys...
In this thesis, three performance problems in linear control systems are studied. Robust regulation ...
Most realistic control problems involve some types of constraints. However, up to date all the ...
The objective of this dissertation is to develop data-driven frequency-domain methods for designing ...