Title :
Stochastic Model for Adaptation Using Basin Hopping Dynamics
Author_Institution :
NTT Commun. Sci. Labs., Kyoto
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;
Conference_Titel :
Foundations of Computational Intelligence, 2007. FOCI 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0703-6
DOI :
10.1109/FOCI.2007.372166
