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Disk pole location for uncertain systems through convex optimization
Author(s) -
Garcia Germain,
Bernussou Jacques,
Camozzi Patricia
Publication year - 1996
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(199604)6:3<189::aid-rnc142>3.0.co;2-6
Subject(s) - bounded function , norm (philosophy) , convex optimization , regular polygon , mathematics , mathematical optimization , control theory (sociology) , optimization problem , quadratic equation , conic optimization , convex analysis , control (management) , computer science , law , mathematical analysis , geometry , artificial intelligence , political science
In this paper, a necessary and sufficient condition for disk pole location for uncertain continuous or discrete time systems subject to norm‐bounded uncertainty is derived. This condition being convex, the control law design is made through convex optimization. The approach adopted follows the quadratic stabilizability philosophy in the problem of pole placement.