International audienceThis article addresses the fast on-line solution of a sequence of quadratic programs underlying a linear model predictive control scheme. We introduce an algorithm which is tailored to efficiently handle small to medium sized problems with relatively small number of active constraints. Different aspects of the algorithm are examined and its computational complexity is presented. Finally, we discuss a modification of the presented algorithm that produces "good" approximate solutions faster
This thesis develops efficient optimization methods for Model Predictive Control (MPC) to enable its...
This paper proposes a dual fast gradient-projection method for solving quadratic programming problem...
Linear quadratic model predictive control (MPC) with input constraints leads to an optimization prob...
International audienceThis article addresses the fast on-line solution of a sequence of quadratic pr...
Summary. This article addresses the fast on-line solution of a sequence of quadratic programs underl...
Nearly all algorithms for linear model predictive control (MPC) either rely on the solution of conve...
In this paper we review a dual fast gradient-projection approach to solving quadratic programming (Q...
International audienceThis article addresses the fast solution of a Quadratic Program underlying a L...
tion problem needs to be solved at each sampling time, and this has traditionally limited use of MPC...
The control based on online optimization, popularly known as model predictive control (MPC), has lon...
A key component in enabling the application of model predictive control (MPC) in fields such as auto...
Fast and efficient numerical methods for solving Quadratic Programming problems (QPs) in the area of...
Abstract: In Model Predictive Control (MPC), an optimization problem has to be solved at each sampli...
A method of solving the online optimization in model predictive control (MPC) of input-constrained l...
This paper proposes a dual fast gradient-projection method for solving quadratic programming problem...
This thesis develops efficient optimization methods for Model Predictive Control (MPC) to enable its...
This paper proposes a dual fast gradient-projection method for solving quadratic programming problem...
Linear quadratic model predictive control (MPC) with input constraints leads to an optimization prob...
International audienceThis article addresses the fast on-line solution of a sequence of quadratic pr...
Summary. This article addresses the fast on-line solution of a sequence of quadratic programs underl...
Nearly all algorithms for linear model predictive control (MPC) either rely on the solution of conve...
In this paper we review a dual fast gradient-projection approach to solving quadratic programming (Q...
International audienceThis article addresses the fast solution of a Quadratic Program underlying a L...
tion problem needs to be solved at each sampling time, and this has traditionally limited use of MPC...
The control based on online optimization, popularly known as model predictive control (MPC), has lon...
A key component in enabling the application of model predictive control (MPC) in fields such as auto...
Fast and efficient numerical methods for solving Quadratic Programming problems (QPs) in the area of...
Abstract: In Model Predictive Control (MPC), an optimization problem has to be solved at each sampli...
A method of solving the online optimization in model predictive control (MPC) of input-constrained l...
This paper proposes a dual fast gradient-projection method for solving quadratic programming problem...
This thesis develops efficient optimization methods for Model Predictive Control (MPC) to enable its...
This paper proposes a dual fast gradient-projection method for solving quadratic programming problem...
Linear quadratic model predictive control (MPC) with input constraints leads to an optimization prob...