Control of Constrained Linear-Time Varying Systems via Kautz Parametrization of Model Predictive Control Scheme
محل انتشار: مجله ایتالیایی علوم و مهندسی، دوره: 1، شماره: 2
سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 371
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شناسه ملی سند علمی:
JR_IJSE-1-2_003
تاریخ نمایه سازی: 21 فروردین 1397
چکیده مقاله:
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.
کلیدواژه ها:
نویسندگان
Massoud Hemmasian Ettefagh
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
José De Doná
School of Electrical Engineering and Computing, The University of Newcastle, Australia
Mahyar Naraghi
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
Farzad Towhidkhah
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran