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

سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 371

فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

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.

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