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Stochastic game strategies and their applications / by Bor-Sen Chen.

By: Material type: TextTextPublisher: [Place of publication not identified] : CRC Press, 2019Edition: First editionDescription: 1 online resource (x, 600 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429432941
  • 0429432941
  • 9780429780493
  • 0429780494
  • 9780429780509
  • 0429780508
  • 9780429780516
  • 0429780516
Subject(s): DDC classification:
  • 519.3 23
LOC classification:
  • QA269
Online resources:
Contents:
Part I: General Theory of Stochastic Games Chapter 1: Introduction Chapter 2: Introduction to Stochastic Games in Linear Stochastic Systems Chapter 3 Introduction to Stochastic Games in Nonlinear Stochastic Systems Part II: Stochastic Game Strategies in Control System Designs Chapter 4: Robust Adaptive Tracking Control Design of Robot Systems under Parameter Perturbation and External Disturbance: A Minimax H
Summary: Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative and cooperative game theory with wide applications to control systems, signal processing systems, communication systems, managements, financial systems, and biological systems. H
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Part I: General Theory of Stochastic Games Chapter 1: Introduction Chapter 2: Introduction to Stochastic Games in Linear Stochastic Systems Chapter 3 Introduction to Stochastic Games in Nonlinear Stochastic Systems Part II: Stochastic Game Strategies in Control System Designs Chapter 4: Robust Adaptive Tracking Control Design of Robot Systems under Parameter Perturbation and External Disturbance: A Minimax H

Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative and cooperative game theory with wide applications to control systems, signal processing systems, communication systems, managements, financial systems, and biological systems. H

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