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Adaptive LQG control of positive real systems
Author(s) -
GarridoMoctezuma R.,
Suarez D. A.,
Lozano R.
Publication year - 1998
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(199808)12:5<437::aid-acs503>3.0.co;2-e
Subject(s) - linear quadratic gaussian control , control theory (sociology) , adaptive control , optimal projection equations , controller (irrigation) , adaptation (eye) , observable , mathematics , feature (linguistics) , control (management) , computer science , control engineering , mathematical optimization , optimal control , engineering , artificial intelligence , biology , linguistics , philosophy , physics , quantum mechanics , neuroscience , agronomy
An adaptive control law for PR plants is proposed. The main feature of this approach is that the role of adaptation is not to stabilize the plant but to improve performance. The plant is identified using a standard least‐squares algorithm and through a suitably defined parameter modification, the plant estimates are constrained to a region in the parameter space corresponding to Positive Real Observable Controllable plants. Using these estimates an adaptive LQG disipative controller is designed which trivialy stabilizes the plant. Simulation results are presented. © 1998 John Wiley & Sons, Ltd.