This paper gives an overview of robustness in Model Predictive Control (MPC). After reviewing the basic concepts of MPC, we survey the uncertainty descriptions considered in the MPC literature, and the techniques proposed for robust constraint handling, stability, and performance. The key concept of “closedloop prediction” is discussed at length. The paper concludes with some comments on future research directions
Model Predictive Control (MPC) is a well-established technology for advanced control of many industr...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
A general procedure leading to an enhancement of robustness of existing Model Predictive Control tec...
The past three decades have witnessed important developments in the theory and practice of model pre...
In this paper, we discuss the model predictive control algorithms that are tailored for uncertain sy...
This thesis introduces a new interpretation of the problems arising in robust model predictive contr...
This paper proposes an approach for the robust stabilization of systems controlled by MPC strategies...
Robust model predictive control (RMPC) adopts either nominal or worst-case cost as the performance i...
[EN] In this work we are going to talk about the control algorithms. To explain this topic, first, w...
Model predictive control (MPC) is a well-established modern control technology used in diverse appli...
A model predictive controller (MPC) is proposed, which is robustly stable for some classes of model ...
For the first time, a textbook that brings together classical predictive control with treatment of u...
Model Predictive Control (MPC) repeatedly solves a finite horizon optimal control problem subject to...
This thesis is concerned with the problem of robust model predictive control (MPC) of an input and s...
AbstractMin–Max optimization is often used for improving robustness in Model Predictive Control (MPC...
Model Predictive Control (MPC) is a well-established technology for advanced control of many industr...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
A general procedure leading to an enhancement of robustness of existing Model Predictive Control tec...
The past three decades have witnessed important developments in the theory and practice of model pre...
In this paper, we discuss the model predictive control algorithms that are tailored for uncertain sy...
This thesis introduces a new interpretation of the problems arising in robust model predictive contr...
This paper proposes an approach for the robust stabilization of systems controlled by MPC strategies...
Robust model predictive control (RMPC) adopts either nominal or worst-case cost as the performance i...
[EN] In this work we are going to talk about the control algorithms. To explain this topic, first, w...
Model predictive control (MPC) is a well-established modern control technology used in diverse appli...
A model predictive controller (MPC) is proposed, which is robustly stable for some classes of model ...
For the first time, a textbook that brings together classical predictive control with treatment of u...
Model Predictive Control (MPC) repeatedly solves a finite horizon optimal control problem subject to...
This thesis is concerned with the problem of robust model predictive control (MPC) of an input and s...
AbstractMin–Max optimization is often used for improving robustness in Model Predictive Control (MPC...
Model Predictive Control (MPC) is a well-established technology for advanced control of many industr...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
A general procedure leading to an enhancement of robustness of existing Model Predictive Control tec...
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