Add to ORKGThis paper introduces a new variant of model predictive control called Reduced Parameterisation Model Predictive Control. The new algorithm uses the structure of the null controllable set of input constrained unstable systems to produce a closed-loop system with a region of attraction that is an arbitrarily close approximation to this set. In addition, this result is achieved with a lower complexity than that of MPC
Model Predictive Control (MPC) is an optimal control method. At each instant of time, a per-formance...
This paper describes a new method for the design of model predictive control (MPC) using non-minimal...
Adaptive control for constrained, linear systems is addressed and a solution based on Model Predicti...
This paper presents the properties of a new variant of model predictive control called Reduced Param...
Research Doctorate - Doctor of Philosophy (PhD)This dissertation presents some new approaches to add...
Model Predictive Control (MPC) is a popular advanced control strategy that is implemented by determi...
The problem of controlling a high-dimensional linear system subject to hard input and state constrai...
This paper develops a parameterized tube model predictive control (MPC) synthesis method. The most r...
This paper proposes an approach for the robust stabilization of systems controlled by MPC strategies...
Abstract: Explicit piecewise linear (PWL) state feedback laws solving constrained linear model predi...
This work presents an alternative way to formulate the stable Model Predictive Control (MPC) optimiz...
MPC(Model Predictive Control) is representative of control methods which are able to handle physical...
In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback mo...
Stability of model predictive control could be achieved by adding a terminal weighting term in a per...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
Model Predictive Control (MPC) is an optimal control method. At each instant of time, a per-formance...
This paper describes a new method for the design of model predictive control (MPC) using non-minimal...
Adaptive control for constrained, linear systems is addressed and a solution based on Model Predicti...
This paper presents the properties of a new variant of model predictive control called Reduced Param...
Research Doctorate - Doctor of Philosophy (PhD)This dissertation presents some new approaches to add...
Model Predictive Control (MPC) is a popular advanced control strategy that is implemented by determi...
The problem of controlling a high-dimensional linear system subject to hard input and state constrai...
This paper develops a parameterized tube model predictive control (MPC) synthesis method. The most r...
This paper proposes an approach for the robust stabilization of systems controlled by MPC strategies...
Abstract: Explicit piecewise linear (PWL) state feedback laws solving constrained linear model predi...
This work presents an alternative way to formulate the stable Model Predictive Control (MPC) optimiz...
MPC(Model Predictive Control) is representative of control methods which are able to handle physical...
In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback mo...
Stability of model predictive control could be achieved by adding a terminal weighting term in a per...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
Model Predictive Control (MPC) is an optimal control method. At each instant of time, a per-formance...
This paper describes a new method for the design of model predictive control (MPC) using non-minimal...
Adaptive control for constrained, linear systems is addressed and a solution based on Model Predicti...