Abstract: We present a new technique for the synthesis of a robust model predictive controller with infinite prediction horizon. The proposed controller design approach ensures a parameter-dependent quadratic stability and guaranteed cost for linear polytopic uncertain systems. The proposed design procedure based on BMI or LMI reduces to off-line output feedback controller gain calculation minimizing an upper bound on the “worst case ” an objective function. For the case of our approach and input (output) constraints at each sample time step for each input (output) scalar parameter is calculated, which radically decreases the computational load. The controller design is illustrated by examples
Model Predictive Control (MPC) has become one of the dominant methods of chemical process control in...
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to c...
Abstract: An output feedback constrained MPC control scheme for uncertain LFR/Norm-Bounded discrete-...
A model predictive controller (MPC) is proposed, which is robustly stable for some classes of model ...
In this paper a new robust Modelbased Predictive Control (MPC) algorithm for linear models with poly...
The paper addresses the problem of designing a robust output/state model predictive control for line...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to c...
Concerning the robust model predictive control (MPC) for constrained systems with polytopic model ch...
A robustly stabilizing MPC (model predictive control) algorithm for uncertain nonlinear systems is d...
Model predictive control (MPC) is usually implemented as a control strategy where the system outputs...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
Model Predictive Control (MPC) has become one of the dominant methods of chemical process control in...
A novel methodology is proposed for discrete model predictive gain-scheduled controller design for n...
This thesis introduces a new interpretation of the problems arising in robust model predictive contr...
Model Predictive Control (MPC) has become one of the dominant methods of chemical process control in...
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to c...
Abstract: An output feedback constrained MPC control scheme for uncertain LFR/Norm-Bounded discrete-...
A model predictive controller (MPC) is proposed, which is robustly stable for some classes of model ...
In this paper a new robust Modelbased Predictive Control (MPC) algorithm for linear models with poly...
The paper addresses the problem of designing a robust output/state model predictive control for line...
In this paper, a new model predictive controller (MPC), which is robust for a class of model uncerta...
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to c...
Concerning the robust model predictive control (MPC) for constrained systems with polytopic model ch...
A robustly stabilizing MPC (model predictive control) algorithm for uncertain nonlinear systems is d...
Model predictive control (MPC) is usually implemented as a control strategy where the system outputs...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
Model Predictive Control (MPC) has become one of the dominant methods of chemical process control in...
A novel methodology is proposed for discrete model predictive gain-scheduled controller design for n...
This thesis introduces a new interpretation of the problems arising in robust model predictive contr...
Model Predictive Control (MPC) has become one of the dominant methods of chemical process control in...
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to c...
Abstract: An output feedback constrained MPC control scheme for uncertain LFR/Norm-Bounded discrete-...