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Control system design for parametric uncertainty
Author(s) -
Keel L. H.,
Bhattacharyya S. P.
Publication year - 1994
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.4590040107
Subject(s) - parametric statistics , bode plot , plot (graphics) , robust control , nyquist plot , frequency domain , control theory (sociology) , computer science , nyquist stability criterion , control (management) , control system , control engineering , mathematics , engineering , transfer function , statistics , artificial intelligence , chemistry , electrical engineering , electrode , dielectric spectroscopy , computer vision , electrochemistry
This paper introduces some recently developed frequency‐domain design techniques that are effective in the design of control systems that are required to be robust under parametric uncertainty. We have extended the well‐known classical control tools (i.e., Nyquist plot, Bode plot, and Nichols chart) developed for a fixed plant to the domain of families of plants where the uncertain parameter varies in intervals. Using this new family of plots, classical control design techniques can be used to design robust control systems. The technique is illustrated by examples.