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Adaptive performance/ robust control design using orthotopic set membership identification for low‐dimensional systems
Author(s) -
Tzes Anthony,
Le Ke
Publication year - 1997
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/(sici)1099-1115(199712)11:8<649::aid-acs459>3.0.co;2-g
Subject(s) - identifier , control theory (sociology) , controller (irrigation) , robust control , set (abstract data type) , adaptive control , computer science , identification (biology) , robustness (evolution) , open loop controller , scheme (mathematics) , control (management) , control engineering , engineering , control system , closed loop , mathematics , artificial intelligence , mathematical analysis , biochemistry , chemistry , botany , electrical engineering , gene , agronomy , biology , programming language
The adaptive robust control design problem for low‐dimensional systems is addressed in this paper. The proposed scheme consists of an orthotopic set membership identifier, a robust stabilizing controller and a pole placement controller. The identifier provides the minimum (volume‐wise) orthotopic region of parameters which is consistent with the data and model structure. Based on this orthotope, the robust controller computes the feasible set of stabilizing controller gains. Subsequently a pole assignment controller selects a subset from the stabilizing gains in order to place the closed‐loop poles deeper inside the unit disc. Simulation studies are offered to validate the efficiency of the proposed method. © 1997 John Wiley & Sons, Ltd.