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Reduced‐order robust compensator design with real parameter uncertainty
Author(s) -
Yeh HsiHan,
Hsu Chin S.,
Banda Siva S.,
Rawson Jenny L.
Publication year - 1997
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/(sici)1099-1239(199712)7:12<1029::aid-rnc248>3.0.co;2-z
Subject(s) - control theory (sociology) , robust control , constraint (computer aided design) , norm (philosophy) , observer (physics) , stability (learning theory) , mathematical optimization , riccati equation , computer science , robustness (evolution) , mathematics , control (management) , control system , engineering , differential equation , electrical engineering , mathematical analysis , biochemistry , chemistry , physics , geometry , quantum mechanics , artificial intelligence , machine learning , law , political science , gene
A method based on observer theory is presented for the construction of design equations for low‐order controllers to provide H ∞ norm constraint for systems with real‐parameter uncertainties. The multi‐goal robust stability and performance problem is solved in terms of Riccati inequalities. A new design methodology is presented along with a numerical algorithm. An example is also included to demonstrate the proposed design method. © 1997 by John Wiley & Sons, Ltd.