Automated synthesis of fixed structure QFT prefilter using piecewise linear approximation based linear programming optimization techniques

作     者：Nataraj, P.S.V. Makwana, Dipesh 

作者机构：Systems and Control Engineering Group IIT Bombay India 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2016年第49卷第1期

页      面：349-354页

核心收录：

主　　题：Piecewise linear techniques Feedback Linear programming Robust control Automatic synthesis Computationally efficient Linear programming optimization Linear programming problem Order sets Piecewise linear approximations Prefilter designs Quantitative feedback theory 

摘      要：Prefilter synthesis is one of the important design steps of Horowitz s quantitative feedback theory (QFT) to robust feedback system synthesis. The prefilter is designed to achieve tracking specifications. In this paper, a new, computationally efficient approach for automation of the prefilter design step is proposed. A linear programming based algorithm is proposed for the automatic synthesis of fixed structure QFT prefilter. In present work, prefilter synthesis problem is posed as a piecewise linear approximation based linear programming problem and solved with GUROBI optimizer *** proposed method is validated using a benchmark problem and a simple, low order prefilter is obtained in quick time. © 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.