Nonlinear extremum seeking inspired on second order sliding modes


Por: Angulo M.T.

Publicada: 1 ene 2015
Resumen:
We present a new Extremum Seeking algorithm that uses Super-Twisting like nonlinear terms in order to improve its precision. In addition, the algorithm is combined with Second Order Sliding Mode observers to build an optimization framework for uncertain dynamic systems in which the variable to optimize is not measured and needs to be estimated. The relevance of the proposed framework is illustrated in the problem of biomass optimization of a biological reactor with uncertain kinetics. © 2015 Elsevier Ltd.
ISSN: 00051098





Automatica
Editorial
Elsevier Science Ltd, Exeter, United Kingdom, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, Estados Unidos America
Tipo de documento: Article
Volumen: 57 Número:
Páginas: 51-55
WOS Id: 000356746500007