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Identification by parameter bounds in adaptive control
Author(s) -
Veres Sandor M.
Publication year - 1995
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/acs.4480090105
Subject(s) - bounding overwatch , control theory (sociology) , identification (biology) , a priori and a posteriori , adaptive control , dual (grammatical number) , control (management) , computer science , parameter identification problem , adaptation (eye) , mathematics , mathematical optimization , artificial intelligence , art , philosophy , botany , physics , literature , epistemology , optics , biology
Abstract Approximate solutions are suggested for receding horizon dual control to guarantee acceptable control performance of a plant with large a priori parameter uncertainties under poor excitation by the output reference and to satisfy the requirement of very fast adaptation using knowledge available on sensor and performance in industrial applications of adaptive control. the aim of the paper is to present several levels of interaction between on‐line identification and control performance using parameter bounds. an interesting theorem shows that parameter bounding is a necessary part of the solution of the dual control problem. Starting from the complete separation of identification and control, various approximations are presented at different levels of optimality. Finally, the exact solution of the dual control problem is found for static gain adaptation, which implicitly involves a parameter‐bounding identification procedure.