Simplex Guided Extremum Seeking Control With Convergence Detection to Improve Global Performance

This paper presents a novel approach to improve the global performance of extremum seeking control (ESC). This algorithm employs perturbation-based ESC to find local extrema and a simplex-based algorithm to search for the global extremum. The two methods are employed in an iterative switching manner...

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Veröffentlicht in:	IEEE transactions on control systems technology Jg. 24; H. 4; S. 1266 - 1278
Hauptverfasser:	Zhang, Yinghua, Rotea, Mario, Gans, Nicholas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Control systems Convergence Convergence detection Criteria extremum seeking control (ESC) Frequency-domain analysis global optimization Linear programming Mathematical analysis nonlinear control Optimization Performance enhancement Prediction algorithms Switches Switching visual search algorithms extremum seeking control (ESC) nonlinear control visual search algorithms Convergence detection global optimization
ISSN:	1063-6536, 1558-0865
Online-Zugang:	Volltext
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