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Analysis and Design for Positive Stochastic Jump Systems - Guangdeng Zong - Bog

Bag om Analysis and Design for Positive Stochastic Jump Systems

The book focuses on analysis and design for positive stochastic jump systems. By using multiple linear co-positive Lyapunov function method and linear programming technique, a basic theoretical framework is formed toward the issues of analysis and design for positive stochastic jump systems. This is achieved by providing an in-depth study on several major topics such as stability, time delay, finite-time control, observer design, filter design, and fault detection for positive stochastic jump systems. The comprehensive and systematic treatment of positive systems is one of the major features of the book, which is particularly suited for readers who are interested to learn non-negative theory. By reading this book, the reader can obtain the most advanced analysis and design techniques for positive stochastic jump systems.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811954924
  • Indbinding:
  • Paperback
  • Sideantal:
  • 228
  • Udgivet:
  • 21. september 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x13x235 mm.
  • Vægt:
  • 353 g.
  • 8-11 hverdage.
  • 28. november 2024
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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
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Beskrivelse af Analysis and Design for Positive Stochastic Jump Systems

The book focuses on analysis and design for positive stochastic jump systems. By using multiple linear co-positive Lyapunov function method and linear programming technique, a basic theoretical framework is formed toward the issues of analysis and design for positive stochastic jump systems. This is achieved by providing an in-depth study on several major topics such as stability, time delay, finite-time control, observer design, filter design, and fault detection for positive stochastic jump systems. The comprehensive and systematic treatment of positive systems is one of the major features of the book, which is particularly suited for readers who are interested to learn non-negative theory. By reading this book, the reader can obtain the most advanced analysis and design techniques for positive stochastic jump systems.

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