The model predictive control problem with guaranteed stability for a class of linear distributed parameter systems with simultaneous amplitude and rate control constraints is investigated. The approach is developed using a finite dimensional, input-output modelling technique for distributed parameter systems based on a distributed output projection onto a finite basis set. The paper employs a dual mode prediction strategy in conjunction with the projection-based state space system description and proposes algorithms for the design of polyhedral positive invariant and feasible sets which serve as terminal target sets for predicted states. An extension to predictive control with integral action is described. The proposed algorithms are shown ...
In this paper, we propose a method for model predictive control of linear parameter-varying (LPV) sy...
In this paper, an approach to low complexity distributed MPC of linear interconnected systems with c...
We present a stopping condition to the duality based distributed optimization algorithm presented in...
A novel distributed model predictive control (DMPC) strategy with time-varying terminal set for line...
We propose a distributed model predictive control scheme for linear time-invariant constrained syste...
Abstract — In this work, synthesis and closed-loop operation of robust distributed model predictive ...
The present work extends known finite-dimensional constrained optimal control realizations to the re...
Distributed Model Predictive Control refers to a class of predictive control architectures in which ...
In this paper, a receding-horizon control method for input/state constrained systems with polyhedral...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
International audienceThis paper investigates the distributed model predictive control (DMPC) for po...
This paper is concerned with the design of stabilizing model predictive control (MPC) laws for const...
Robust predictive control has been tackled through the use of linear matrix inequalities and ellipso...
The problem of constrained model predictive control on a class of stochastic linear parameter varyin...
In this paper, we propose a method for model predictive control of linear parameter-varying (LPV) sy...
In this paper, an approach to low complexity distributed MPC of linear interconnected systems with c...
We present a stopping condition to the duality based distributed optimization algorithm presented in...
A novel distributed model predictive control (DMPC) strategy with time-varying terminal set for line...
We propose a distributed model predictive control scheme for linear time-invariant constrained syste...
Abstract — In this work, synthesis and closed-loop operation of robust distributed model predictive ...
The present work extends known finite-dimensional constrained optimal control realizations to the re...
Distributed Model Predictive Control refers to a class of predictive control architectures in which ...
In this paper, a receding-horizon control method for input/state constrained systems with polyhedral...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
This paper combines model predictive control (MPC) and set-membership (SM) state estimation techniqu...
International audienceThis paper investigates the distributed model predictive control (DMPC) for po...
This paper is concerned with the design of stabilizing model predictive control (MPC) laws for const...
Robust predictive control has been tackled through the use of linear matrix inequalities and ellipso...
The problem of constrained model predictive control on a class of stochastic linear parameter varyin...
In this paper, we propose a method for model predictive control of linear parameter-varying (LPV) sy...
In this paper, an approach to low complexity distributed MPC of linear interconnected systems with c...
We present a stopping condition to the duality based distributed optimization algorithm presented in...