Stochastic Averaging and Stochastic Extremum Seeking

Stochastic Averaging and Stochastic Extremum Seeking develops methods of mathematical analysis inspired by the interest in reverse engineering  and analysis of bacterial  convergence by chemotaxis and to apply similar stochastic optimization techniques in other environments. The first half of the te...

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Opis bibliograficzny
Główni autorzy: Liu, Shu-Jun, 19..-, Krstić, Miroslav, 1964- (Autor)
Format: Livre numérique
Język:Anglais
Wydane: London : Springer London 2012.
Cham : Springer Nature
Seria:Communications and Control Engineering
Dostęp online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Komentarz: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Stochastic Averaging and Stochastic Extremum Seeking, Texte imprimé, 9781447140887
• Stochastic Averaging and Stochastic Extremum Seeking, Texte imprimé, 9781447161851
• Stochastic Averaging and Stochastic Extremum Seeking, Texte imprimé, 9781447140863
Spis treści:
  • Stochastic Averaging for Aymptotic Stability
  • Stochastic Averaging for Practical Stability
  • Single-parameter Stochastic Extremum Seeking
  • Stochastic Source Seeking for Nonholonomic Vehicles
  • Stochastic Source Seeking with Tuning of Forward Velocity
  • Multi-parameter Stochastic Extremum Seeking and Slope Seeking
  • Stochastic Nash Equilibrium Seeking for Games with General Nonlinear Payoffs
  • Nash Equilibrium Seeking for Quadratic Games and Application to Oligopoly Markets and Vehicle Deployment
  • Newton-based Stochastic Extremum Seeking.