This paper proposes an approach for the robust stabilization of systems controlled by MPC strategies. Uncertain SISO linear systems with box-bounded parametric uncertainties are considered. The proposed approach delivers some constraints on the control inputs which impose sufficient conditions for the convergence of the system output. These stability constraints can be included in the set of constraints dealt with by existing MPC design strategies, in this way leading to the “robustification” of the MPC
In this paper, we present an off-line approach for robust constrained MPC synthesis that gives an ex...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
Research Doctorate - Doctor of Philosophy (PhD)This thesis addresses the problem of robustness in mo...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
Robust constrained control of linear systems with parametric uncertainty and additive disturbance is...
Model Predictive Control (MPC) has become one of the dominant methods of chemical process control in...
Controlling a system with control and state constraints is one of the most important problems in con...
A robust model predictive control (MPC) method is presented for linear, time-invariant systems affec...
A robustly stabilizing MPC (model predictive control) algorithm for uncertain nonlinear systems is d...
8th IFAC Symposium on Nonlinear Control SystemsUniversity of Bologna, Italy, September 1-3, 2010This...
This paper is concerned with the practical real-time implementability of robustly stable model predi...
A robust Model Predictive Control (MPC) strategy is proposed for linear systems with multiplicative ...
This paper gives an overview of robustness in Model Predictive Control (MPC). After reviewing the ba...
Abstract: A new method for the design of predictive controllers for SISO systems is presented. The p...
This paper addresses the stability of Model Predictive Control (MPC) with output feedback. The propo...
In this paper, we present an off-line approach for robust constrained MPC synthesis that gives an ex...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
Research Doctorate - Doctor of Philosophy (PhD)This thesis addresses the problem of robustness in mo...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
Robust constrained control of linear systems with parametric uncertainty and additive disturbance is...
Model Predictive Control (MPC) has become one of the dominant methods of chemical process control in...
Controlling a system with control and state constraints is one of the most important problems in con...
A robust model predictive control (MPC) method is presented for linear, time-invariant systems affec...
A robustly stabilizing MPC (model predictive control) algorithm for uncertain nonlinear systems is d...
8th IFAC Symposium on Nonlinear Control SystemsUniversity of Bologna, Italy, September 1-3, 2010This...
This paper is concerned with the practical real-time implementability of robustly stable model predi...
A robust Model Predictive Control (MPC) strategy is proposed for linear systems with multiplicative ...
This paper gives an overview of robustness in Model Predictive Control (MPC). After reviewing the ba...
Abstract: A new method for the design of predictive controllers for SISO systems is presented. The p...
This paper addresses the stability of Model Predictive Control (MPC) with output feedback. The propo...
In this paper, we present an off-line approach for robust constrained MPC synthesis that gives an ex...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
Research Doctorate - Doctor of Philosophy (PhD)This thesis addresses the problem of robustness in mo...