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Control Synthesis for Semi-Markovian Switching Systems

Über Control Synthesis for Semi-Markovian Switching Systems

The book focuses on control synthesis for semi-Markovian switching systems. By using multiple semi-Markovian Lyapunov function approaches, a basic theoretical framework is formed toward the issue of control synthesis for semi-Markovian switching systems. This is achieved by providing an in-depth study on several major topics such as sliding mode control, finite-time control, quantized control, event-triggered control, synchronization, and fuzzy control for semi-Markovian switching systems. The comprehensive and systematic treatment of semi-Markovian switching systems is one of the major features of the book, which is particularly suitable for readers who are interested to learn control theory and engineering. By reading this book, the reader can obtain the most advanced analysis and design techniques for stochastic switching systems.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9789819903160
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 236
  • Veröffentlicht:
  • 8. März 2023
  • Ausgabe:
  • 23001
  • Abmessungen:
  • 160x19x241 mm.
  • Gewicht:
  • 524 g.
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Beschreibung von Control Synthesis for Semi-Markovian Switching Systems

The book focuses on control synthesis for semi-Markovian switching systems. By using multiple semi-Markovian Lyapunov function approaches, a basic theoretical framework is formed toward the issue of control synthesis for semi-Markovian switching systems. This is achieved by providing an in-depth study on several major topics such as sliding mode control, finite-time control, quantized control, event-triggered control, synchronization, and fuzzy control for semi-Markovian switching systems. The comprehensive and systematic treatment of semi-Markovian switching systems is one of the major features of the book, which is particularly suitable for readers who are interested to learn control theory and engineering. By reading this book, the reader can obtain the most advanced analysis and design techniques for stochastic switching systems.

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