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

By: Chen, Bor-Sen [author.]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 resourceISBN: 9780429432941; 0429432941; 9780429780493; 0429780494; 9780429780509; 0429780508; 9780429780516; 0429780516Subject(s): MATHEMATICS / Applied | MATHEMATICS / Game Theory | TECHNOLOGY / Electricity | Game theoryDDC classification: 519.3 LOC classification: QA269Online resources: Taylor & Francis | OCLC metadata license agreement
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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