Stochastic Averaging and Stochastic Extremum Seeking
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Stochastic Averaging and Stochastic Extremum Seeking

Stochastic Averaging and Stochastic Extremum Seeking


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About the Book

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.
About the Author: Miroslav Krstic is an author of several books on adaptive control, stochastic nonlinear control, extremum seeking, and control of PDEs. Several of these books have had a high impact in the control field and inspired many researchers to work on the topics that the books have covered and apply the tools from the books in their research and in practice.
Shujun Liu is a young researcher in mathematics and control theory in China with strong connections with the leading research groups in control theory at the Chinese Academy of Sciences. Her doctoral work on stochastic stability and stabilization has had considerable influence on a number of research groups in China who have taken on this topic after her initial work with her doctoral advisor Professor Jifeng Zhang.
Much of the material of this book was developed while the first author was a postdoctoral scholar with the second author at University of California, San Diego.


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Product Details
  • ISBN-13: 9781447161851
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 2012 ed.
  • Language: English
  • Returnable: N
  • Spine Width: 13 mm
  • Width: 156 mm
  • ISBN-10: 1447161858
  • Publisher Date: 17 Jul 2014
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 224
  • Series Title: Communications and Control Engineering
  • Weight: 390 gr


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