A novel approach based on probability and randomization has emerged to synergize with the standard deterministic methods for control of systems with uncertainty. The main objective of this paper is to provide a broad perspective on this area of research known as ‘‘probabilistic robust control’’, and to address in a systematic manner recent advances. The focal point is on design methods, based on the interplay between uncertainty randomization and convex optimization, and on the illustration of specific control applications
In this paper, we propose the use of randomized algorithms for the synthesis of adaptive control law...
In this paper, we consider a robust controller design problem, where the design objectives are divid...
This paper presents a novel approach to robust model predictive control (MPC) for LTI discrete time ...
A novel approach based on probability and randomization recently emerged to synergize with the stand...
The probabilistic approach to analysis and design of robust control systems is an emerging philosoph...
The main objective of this book is to introduce the reader to the fundamentals of the area of probab...
This paper presents a reliability- and robustness-based formulation for robust control synthesis for...
The presence of uncertainty in a system description has always been a critical issue in control. The...
A direct method to improve the reliability of a control system with uncertainties may present tremen...
The contribution of this paper is a probabilistic synthesis method for robust linear parameter-varyi...
Digital Object Identifier: 10.1109/TAC.2006.889863This is the first book that fully covers both rand...
AbstractIn this paper, we present an overview of probabilistic techniques based on randomized algori...
This paper proposes a new approach to design a robust model predictive control (MPC) algorithm for L...
In this paper, we study robust design of uncertain systems in a probabilistic setting by means of li...
This paper presents a study on the optimization of systems with structured uncertainties, whose inpu...
In this paper, we propose the use of randomized algorithms for the synthesis of adaptive control law...
In this paper, we consider a robust controller design problem, where the design objectives are divid...
This paper presents a novel approach to robust model predictive control (MPC) for LTI discrete time ...
A novel approach based on probability and randomization recently emerged to synergize with the stand...
The probabilistic approach to analysis and design of robust control systems is an emerging philosoph...
The main objective of this book is to introduce the reader to the fundamentals of the area of probab...
This paper presents a reliability- and robustness-based formulation for robust control synthesis for...
The presence of uncertainty in a system description has always been a critical issue in control. The...
A direct method to improve the reliability of a control system with uncertainties may present tremen...
The contribution of this paper is a probabilistic synthesis method for robust linear parameter-varyi...
Digital Object Identifier: 10.1109/TAC.2006.889863This is the first book that fully covers both rand...
AbstractIn this paper, we present an overview of probabilistic techniques based on randomized algori...
This paper proposes a new approach to design a robust model predictive control (MPC) algorithm for L...
In this paper, we study robust design of uncertain systems in a probabilistic setting by means of li...
This paper presents a study on the optimization of systems with structured uncertainties, whose inpu...
In this paper, we propose the use of randomized algorithms for the synthesis of adaptive control law...
In this paper, we consider a robust controller design problem, where the design objectives are divid...
This paper presents a novel approach to robust model predictive control (MPC) for LTI discrete time ...