Add to ORKGIn this paper, we present a new technique to address constrained robust model predictive control. The main advantage of this new approach with respect to other well-known techniques is the reduced conservativeness. Specifically, the technique described in this paper can be applied to polytopic uncertain systems and is based on the use of several Lyapunov functions each one corresponding to a different vertex of the uncertainty's polytope. (C) 2002 Elsevier Science Ltd. All rights reserved.3871183118
For discrete-time linear time-invariant systems with input disturbances and constraints on inputs an...
In this paper, we present an off-line approach for robust constrained MPC synthesis that gives an ex...
Robust model predictive control technique is proposed for constrained nonlinear systems are modelled...
The problem of robust constrained model predictive control (MPC) of systems with polytopic uncertain...
The problem of robust constrained model predictive control (MFC) of systems with polytopic uncertain...
Concerning the robust model predictive control (MPC) for constrained systems with polytopic model ch...
AbstractIn this paper, a synthesis approach to robust constrained model predictive control (MPC) for...
Robust predictive control in the presence of polytopic model uncertainty has been tackled through th...
This paper starts with a brief review of robust model predictive control (RMPC) algorithsms for unce...
We address min-max model predictive control (MPC) for uncertain discrete-time systems by a robust dy...
Robust constrained control of linear systems with parametric uncertainty and additive disturbance is...
This paper proposes an approach for the robust stabilization of systems controlled by MPC strategies...
This thesis deals with the topic of min-max formulations of robust model predictive control problems...
A convex formulation is derived for optimizing dynamic feedback laws for constrained linear systems ...
8th IFAC Symposium on Nonlinear Control SystemsUniversity of Bologna, Italy, September 1-3, 2010This...
For discrete-time linear time-invariant systems with input disturbances and constraints on inputs an...
In this paper, we present an off-line approach for robust constrained MPC synthesis that gives an ex...
Robust model predictive control technique is proposed for constrained nonlinear systems are modelled...
The problem of robust constrained model predictive control (MPC) of systems with polytopic uncertain...
The problem of robust constrained model predictive control (MFC) of systems with polytopic uncertain...
Concerning the robust model predictive control (MPC) for constrained systems with polytopic model ch...
AbstractIn this paper, a synthesis approach to robust constrained model predictive control (MPC) for...
Robust predictive control in the presence of polytopic model uncertainty has been tackled through th...
This paper starts with a brief review of robust model predictive control (RMPC) algorithsms for unce...
We address min-max model predictive control (MPC) for uncertain discrete-time systems by a robust dy...
Robust constrained control of linear systems with parametric uncertainty and additive disturbance is...
This paper proposes an approach for the robust stabilization of systems controlled by MPC strategies...
This thesis deals with the topic of min-max formulations of robust model predictive control problems...
A convex formulation is derived for optimizing dynamic feedback laws for constrained linear systems ...
8th IFAC Symposium on Nonlinear Control SystemsUniversity of Bologna, Italy, September 1-3, 2010This...
For discrete-time linear time-invariant systems with input disturbances and constraints on inputs an...
In this paper, we present an off-line approach for robust constrained MPC synthesis that gives an ex...
Robust model predictive control technique is proposed for constrained nonlinear systems are modelled...