Add to ORKGAbstract: In this paper we consider an MPC algorithm for portfolio optimization type problems. We provide explicit expressions of the cost of MPC trajectories in dependence of the optimization horizon, the sampling time and the predictor. The asymptotic analysis for the cost is developed. Copyright c©2004 IFAC
Model predictive control (MPC) refers to a family control method which applies to discrete and conti...
Diflerent min-max formulations of MPC for state-space systems with bounded parameters are examined f...
This paper proposes a novel model predictive control (MPC) scheme based on multiobjective optimizati...
A significantly important part of model predictive control (MPC) with constraints is a solution of a...
In this talk, model predictive control (MPC) is used to dynamically optimize an investment portfolio...
In model predictive control (MPC), also called recedinghorizon control, the control input is obtaine...
Model Predictive Control (MPC) is applied to a pendulum system consisting of a pendulum and a cart. ...
Model predictive control (MPC) algorithms brought increase of the control system performance in many...
Model predictive control (MPC) is applied to a physical pendulum system consisting of a pendulum and...
Model predictive control is a feedback control technique based on repeatedly solving optimal control...
Feedback min-max model predictive control based on a quadratic cost function is addressed in this pa...
Model Predictive Control (MPC) is an optimal control method. At each instant of time, a per-formance...
Model predictive control (MPC) is a successful technique which enables to deliver the desired goals...
A recent efficient Model Predictive Control (MPC) strategy uses a univariate Newton-Raphson procedur...
Model predictive control (MPC) designates a control method based on the model. This method is suitab...
Model predictive control (MPC) refers to a family control method which applies to discrete and conti...
Diflerent min-max formulations of MPC for state-space systems with bounded parameters are examined f...
This paper proposes a novel model predictive control (MPC) scheme based on multiobjective optimizati...
A significantly important part of model predictive control (MPC) with constraints is a solution of a...
In this talk, model predictive control (MPC) is used to dynamically optimize an investment portfolio...
In model predictive control (MPC), also called recedinghorizon control, the control input is obtaine...
Model Predictive Control (MPC) is applied to a pendulum system consisting of a pendulum and a cart. ...
Model predictive control (MPC) algorithms brought increase of the control system performance in many...
Model predictive control (MPC) is applied to a physical pendulum system consisting of a pendulum and...
Model predictive control is a feedback control technique based on repeatedly solving optimal control...
Feedback min-max model predictive control based on a quadratic cost function is addressed in this pa...
Model Predictive Control (MPC) is an optimal control method. At each instant of time, a per-formance...
Model predictive control (MPC) is a successful technique which enables to deliver the desired goals...
A recent efficient Model Predictive Control (MPC) strategy uses a univariate Newton-Raphson procedur...
Model predictive control (MPC) designates a control method based on the model. This method is suitab...
Model predictive control (MPC) refers to a family control method which applies to discrete and conti...
Diflerent min-max formulations of MPC for state-space systems with bounded parameters are examined f...
This paper proposes a novel model predictive control (MPC) scheme based on multiobjective optimizati...