In this work a new method for designing predictive controllers for linear MIMO systems is presented. It uses a prediction of the process output J time intervals ahead to compute the correspondent future error. Then, the predictive feedback controller is defined by introducing a filter that weights the last w-predicted errors. In this way, the resulting control action is computed by observing the system future behavior and also by weighting present and past errors
A robust, adaptive Model Predictive Control (MPC) approach for asymptotically stable, constrained li...
Several new computational algorithms are presented to compute the deadbeat predictive control law th...
In this work, a new approach to design predictive feedback control for SISO systems is presented. Th...
In this work a new method for designing predictive controllers for linear single-input/single-output...
The control of multi-input multi-output (MIMO) systems is a common problem in practical control scen...
A learning-based approach for robust predictive control design for multi-input multi-output (MIMO) l...
This paper presents a multivariable receding-horizon predictive control strategy. It does not requir...
Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which...
This paper is concerned with the design of Multi-Inputs and Multi- Outputs (MIMO) predictive PID con...
This paper presents a partially decoupled design of the state space predictive functional control fo...
A new method of designing predictive controllers for SISO systems is presented. The controller selec...
International audienceIn this paper, multi-input multi-output preview systems, for which future valu...
In technical practice often occur multivariable processes with time delay. Time-delays are mainly ca...
This paper proposes to study the potential of use a three-tank system in laboratory scale to teach h...
ne of the fundamental difficulties en-countered throughout process con-trol is the presence of time ...
A robust, adaptive Model Predictive Control (MPC) approach for asymptotically stable, constrained li...
Several new computational algorithms are presented to compute the deadbeat predictive control law th...
In this work, a new approach to design predictive feedback control for SISO systems is presented. Th...
In this work a new method for designing predictive controllers for linear single-input/single-output...
The control of multi-input multi-output (MIMO) systems is a common problem in practical control scen...
A learning-based approach for robust predictive control design for multi-input multi-output (MIMO) l...
This paper presents a multivariable receding-horizon predictive control strategy. It does not requir...
Model Based Predictive Control (MBPC) or only Predictive Control is one of the control methods which...
This paper is concerned with the design of Multi-Inputs and Multi- Outputs (MIMO) predictive PID con...
This paper presents a partially decoupled design of the state space predictive functional control fo...
A new method of designing predictive controllers for SISO systems is presented. The controller selec...
International audienceIn this paper, multi-input multi-output preview systems, for which future valu...
In technical practice often occur multivariable processes with time delay. Time-delays are mainly ca...
This paper proposes to study the potential of use a three-tank system in laboratory scale to teach h...
ne of the fundamental difficulties en-countered throughout process con-trol is the presence of time ...
A robust, adaptive Model Predictive Control (MPC) approach for asymptotically stable, constrained li...
Several new computational algorithms are presented to compute the deadbeat predictive control law th...
In this work, a new approach to design predictive feedback control for SISO systems is presented. Th...