On the accelerated extremum seeking driven by optimal stochastic perturbations
Author:
Affiliation:
1. Hohai University,Department of Automation,Nanjing,P.R. China,210024
2. University of California Merced,School of Engineering,Merced,CA,USA,95343
3. University of Science and Technology of China,Department of Automation,Hefei,China,230026
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727913.pdf?arnumber=9727913
Reference18 articles.
1. Discrete time extremum seeking using stochastic perturbations
2. Extremum Seeking With Stochastic Perturbations
3. PID tuning using extremum seeking: online, model-free performance optimization
4. Slope seeking: a generalization of extremum seeking
5. Iterative learning control based on extremum seeking
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