Premium
Links between the parameter space and frequency domain methods of robust control
Author(s) -
Güvenç Levent,
Ackermann Jürgen
Publication year - 2001
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.668
Subject(s) - parametric statistics , frequency domain , parameter space , robust control , singular value , computer science , control theory (sociology) , space (punctuation) , interpretation (philosophy) , simple (philosophy) , domain (mathematical analysis) , emphasis (telecommunications) , controller (irrigation) , minification , algorithm , control (management) , mathematical optimization , mathematics , control system , engineering , artificial intelligence , telecommunications , statistics , philosophy , mathematical analysis , biology , operating system , epistemology , quantum mechanics , agronomy , computer vision , programming language , eigenvalues and eigenvectors , physics , electrical engineering
Two main approaches to robust control are the parametric and frequency domain approaches. The aim of this paper which starts with tutorial sections on both approaches is to compare and establish links between the parameter space method of the parametric approach and frequency domain methods, with special emphasis on the structured singular value (SSV) method. In an effort to combine the useful properties of both approaches, two SSV minimization based design techniques in controller parameter space are presented here. A simple interpretation of real SSV in plant parameter space and its further implications for analysis and design are also presented. Copyright © 2001 John Wiley & Sons, Ltd.