DocumentCode
2820760
Title
Stochastic Model for Adaptation Using Basin Hopping Dynamics
Author
Davis, Peter
Author_Institution
NTT Commun. Sci. Labs., Kyoto
fYear
2007
fDate
1-5 April 2007
Firstpage
180
Lastpage
185
Abstract
An analysis is presented for adaptive selection of modes using bifurcation of mode-hopping dynamics in a multi-basin system. The analysis utilizes a formalism based on coarse-grained state transitions. Stochastic state transition probabilities are used to derive expressions for mode search times and adaptation rates. This approach can be applied to the tuning of dynamical instabilities in flexible control systems
Keywords
adaptive systems; bifurcation; probability; stochastic processes; adaptation rates; adaptive selection; basin hopping dynamics; chaotic itinerancy; chaotic mode hopping; coarse-grained state transitions; flexible control systems; mode-hopping dynamic bifurcation; multibasin system; search times; stochastic model; stochastic state transition probabilities; Adaptation model; Bifurcation; Chaos; Chaotic communication; Computational intelligence; Laser feedback; Neurofeedback; Stochastic processes; Stochastic resonance; Switches; adaptation; chaotic itinerancy; chaotic mode hopping; multi-basin; multi-stability; multimode; search;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0703-6
Type
conf
DOI
10.1109/FOCI.2007.372166
Filename
4233904
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