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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Liu, Shu-Jun (Autor), Krstic, Miroslav (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Communications and Control Engineering,
Temas:
Control engineering.
Mathematical optimization.
Calculus of variations.
Econometrics.
Bioinformatics.
Robotics.
Automation.
System theory.
Control theory.
Control and Systems Theory.
Calculus of Variations and Optimization.
Quantitative Economics.
Computational and Systems Biology.
Control, Robotics, Automation.
Systems Theory, Control .
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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