Hybrid Extremum Seeking for Black-Box Optimization in Hybrid Plants: An Analytical Framework
| Autor: | Jorge I. Poveda, Chris Manzie, Dragan Nesic, Chwen-Kai Liao, Ronny Kutadinata, Andrew R. Teel |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Singular perturbation Dynamical systems theory Computer science 020208 electrical & electronic engineering Estimator Boundary (topology) 02 engineering and technology symbols.namesake 020901 industrial engineering & automation Control theory Black box Jacobian matrix and determinant 0202 electrical engineering electronic engineering information engineering symbols |
| Zdroj: | CDC |
| DOI: | 10.1109/cdc.2018.8618907 |
| Popis: | This paper presents an analytical framework to design and analyze hybrid extremum seeking controllers for plants with hybrid dynamics. The extremum seeking controllers are characterized by a hybrid dither generator, a hybrid Jacobian estimator, and a hybrid dynamic optimizer. This structure allows us to consider a family of novel extremum seeking controllers that have not been studied in the literature before. Moreover, the hybrid extremum seeking controllers can be applied to plants with hybrid dynamics generating well-defined response maps. A convergence result is established for the closed -loop system by using singular perturbation theory for hybrid dynamical systems with hybrid boundary layers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|