Model predictive control of linear time varying systems using Laguerre functions

2016 ◽  
Author(s):  
Massoud Hemmasian Ettefagh ◽  
Mahyar Naraghi ◽  
Farzad Towhidkhah ◽  
Jose De Dona
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Linear Time ◽  
Time Varying ◽  
Laguerre Functions ◽  
Time Varying Systems

scholarly journals Control of Constrained Linear-Time Varying Systems via Kautz Parametrization of Model Predictive Control Scheme

2017 ◽  
Vol 1 (2) ◽  
pp. 65 ◽  
Author(s):  
Massoud Hemmasian Ettefagh ◽  
José De Doná ◽  
Mahyar Naraghi ◽  
Farzad Towhidkhah
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Linear Time ◽  
Optimal Solution ◽  
Time Varying ◽  
Linear Time Invariant ◽  
Decision Variables ◽  
Time Varying Systems ◽  
Kautz Network ◽  
Time Invariant

Kautz parametrization of the Model Predictive Control (MPC) method has shown its ability to reduce the number of decision variables in Linear Time Invariant (LTI) systems. This paper devotes to extend Kautz network to be used in MPC Algorithm for linear time-varying systems. It is shown that Kautz network enables us to maintain a satisfactory performance while the number of decision variables are reduced considerably. Stability of the algorithm is studied under the framework of the optimal solution. The proposed method is validated by an illustrative example. In this regard, the performance of unconstrained systems as well as constrained ones is compared.

Orthonormal function parametrisation of model-predictive control for linear time-varying systems

2018 ◽  
Vol 49 (4) ◽  
pp. 868-883
Author(s):  
Massoud Hemmasian Ettefagh ◽  
Mahyar Naraghi ◽  
Jose De Dona ◽  
Farzad Towhidkhah
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Linear Time ◽  
Time Varying ◽  
Time Varying Systems
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