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Convergence and synthesis issues in extremum seeking control
Author(s) -
Banavar R. N.,
Chichka D. F.,
Speyer J. L.
Publication year - 2003
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.776
Subject(s) - setpoint , control theory (sociology) , convergence (economics) , controller (irrigation) , function (biology) , scheme (mathematics) , set (abstract data type) , mathematics , pid controller , mathematical optimization , control (management) , computer science , engineering , control engineering , economics , temperature control , artificial intelligence , mathematical analysis , evolutionary biology , agronomy , biology , programming language , economic growth
Abstract Convergence and synthesis issues in an extremum seeking control scheme are addressed. The goal of an extremum seeking controller is to operate at a setpoint that represents the optimal value of a function being optimized in the feedback loop. The results presented here are based solely on assumptions on the curvature of the function being optimized in the loop. We present a class of generalized PI compensators and a set of strictly proper and stable compensators. Copyright © 2003 John Wiley & Sons, Ltd.