This paper presents a frequency domain based approach to tune the penalty weights in the model predictive control (MPC) formulation. The two-step tuning method involves the design of a favourite controller taking into account the model-plant mismatch followed by the controller matching. We implement this approach on a SISO exampl
Model predictive control (MPC) is a control strategy that seems promising in the area of ac drives. ...
The difficulties imposed by actuator limitations in a range of active vibration and noise control pr...
dynamical tuning for multi-objective model predictive control J. Barreiro-Gomez, C. Ocampo-Martinez ...
This paper presents a frequency domain based approach to tune the penalty weights in the model predi...
This paper provides a novel solution to the problem of tuning linear output feedback model predictiv...
This paper presents an intuitive on-line tuning strategy for linear model predictive control (MPC) a...
The effectiveness of model predictive control (MPC) in dealing with input and state constraints duri...
A two-layer approach for the auto-tuning of model predictive control (MPC) is proposed. The bottom l...
Model predictive control (MPC) strategies can efficiently deal with constraints on system states, in...
This paper presents an online tuning strategy for model predictive control. Specifically, the tuning...
In control engineering, system identification is frequently used to create models from inputoutput d...
Model predictive control (MPC) is a successful technique which enables to deliver the desired goals...
Over the past decade, Model Predictive Control (MPC) has established itself as an industrially impor...
Abstract: This paper presents the results of a heuristic approach for tuning an embedded model predi...
This paper demonstrates a method for finding the cost function and state observer to be used in mode...
Model predictive control (MPC) is a control strategy that seems promising in the area of ac drives. ...
The difficulties imposed by actuator limitations in a range of active vibration and noise control pr...
dynamical tuning for multi-objective model predictive control J. Barreiro-Gomez, C. Ocampo-Martinez ...
This paper presents a frequency domain based approach to tune the penalty weights in the model predi...
This paper provides a novel solution to the problem of tuning linear output feedback model predictiv...
This paper presents an intuitive on-line tuning strategy for linear model predictive control (MPC) a...
The effectiveness of model predictive control (MPC) in dealing with input and state constraints duri...
A two-layer approach for the auto-tuning of model predictive control (MPC) is proposed. The bottom l...
Model predictive control (MPC) strategies can efficiently deal with constraints on system states, in...
This paper presents an online tuning strategy for model predictive control. Specifically, the tuning...
In control engineering, system identification is frequently used to create models from inputoutput d...
Model predictive control (MPC) is a successful technique which enables to deliver the desired goals...
Over the past decade, Model Predictive Control (MPC) has established itself as an industrially impor...
Abstract: This paper presents the results of a heuristic approach for tuning an embedded model predi...
This paper demonstrates a method for finding the cost function and state observer to be used in mode...
Model predictive control (MPC) is a control strategy that seems promising in the area of ac drives. ...
The difficulties imposed by actuator limitations in a range of active vibration and noise control pr...
dynamical tuning for multi-objective model predictive control J. Barreiro-Gomez, C. Ocampo-Martinez ...
DOI
Add to ORKG