Add to ORKGIn this paper it is shown how to efficiently solve an optimal control problem with applications to model predictive control. The objective is quadratic and the constraints can be both linear and quadratic. The key to an efficient implementation is to rewrite the optimization problem as a second order cone program. This can be done in many different ways. However, done carefully, it is possible to use both very efficient scalings as well as Riccati recursions for computing the search directions
This paper investigates application of SQP optimization algorithms to nonlinear model pre-dictive co...
A significantly important part of model predictive control (MPC) with constraints is a solution of a...
A recent efficient Model Predictive Control (MPC) strategy uses a univariate Newton-Raphson procedur...
In this paper it is shown how to efficiently solve an optimal control problem with applications to m...
In Model Predictive Control (MPC) an optimal control problem has to be solved at each sampling insta...
The connections between optimization and control theory have been explored by many researchers, and ...
The connections between optimization and control theory have been explored by many researchers and o...
International audienceThis article addresses the fast on-line solution of a sequence of quadratic pr...
This paper proposes a Second Order Cone Formulation of min-max MPC with zone control for LPV Systems...
© 2017 IEEE. We present PANOC, a new algorithm for solving optimal control problems arising in nonli...
We propose an algorithm for the effective solution of quadratic programming (QP) problems arising fr...
This paper provides a review of computationally efficient approaches to nonlinear model predictive c...
We present a structured interior-point method for the efficient solution of the optimal control prob...
A method of solving the online optimization in model predictive control (MPC) of input-constrained l...
A key component in enabling the application of model predictive control (MPC) in fields such as auto...
This paper investigates application of SQP optimization algorithms to nonlinear model pre-dictive co...
A significantly important part of model predictive control (MPC) with constraints is a solution of a...
A recent efficient Model Predictive Control (MPC) strategy uses a univariate Newton-Raphson procedur...
In this paper it is shown how to efficiently solve an optimal control problem with applications to m...
In Model Predictive Control (MPC) an optimal control problem has to be solved at each sampling insta...
The connections between optimization and control theory have been explored by many researchers, and ...
The connections between optimization and control theory have been explored by many researchers and o...
International audienceThis article addresses the fast on-line solution of a sequence of quadratic pr...
This paper proposes a Second Order Cone Formulation of min-max MPC with zone control for LPV Systems...
© 2017 IEEE. We present PANOC, a new algorithm for solving optimal control problems arising in nonli...
We propose an algorithm for the effective solution of quadratic programming (QP) problems arising fr...
This paper provides a review of computationally efficient approaches to nonlinear model predictive c...
We present a structured interior-point method for the efficient solution of the optimal control prob...
A method of solving the online optimization in model predictive control (MPC) of input-constrained l...
A key component in enabling the application of model predictive control (MPC) in fields such as auto...
This paper investigates application of SQP optimization algorithms to nonlinear model pre-dictive co...
A significantly important part of model predictive control (MPC) with constraints is a solution of a...
A recent efficient Model Predictive Control (MPC) strategy uses a univariate Newton-Raphson procedur...