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Sliding Mode Control Of Semimarkovian Jump Systems 1st Edition Jiang

  • SKU: BELL-34818962
Sliding Mode Control Of Semimarkovian Jump Systems 1st Edition Jiang
$ 31.00 $ 45.00 (-31%)

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Sliding Mode Control Of Semimarkovian Jump Systems 1st Edition Jiang instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 6.09 MB
Pages: 160
Author: Jiang, Baoping, Karimi, Hamid Reza
ISBN: 9780367565039, 036756503X
Language: English
Year: 2021
Edition: 1

Product desciption

Sliding Mode Control Of Semimarkovian Jump Systems 1st Edition Jiang by Jiang, Baoping, Karimi, Hamid Reza 9780367565039, 036756503X instant download after payment.

This book presents analysis and design for a class of stochastic systems with semi-Markovian jump parameters. It explores systematic analysis of semi-Markovian jump systems via sliding mode control strategy which makes up the shortages in the analysis and design of stochastic systems. This text provides a novel estimation method to deal with the stochastic stability of semi-Markovian jump systems along with design of novel integral sliding surface. Finally, Takagi-Sugeno fuzzy model approach is brought to deal with system nonlinearities and fuzzy sliding mode control laws are provided to ensure the stabilization purpose.

Features:

  • Presents systematic work on sliding mode control (SMC) of semi-Markvoain jump systems.
  • Explores SMC methods, such as fuzzy SMC, adaptive SMC, with the presence of generally uncertain transition rates.
  • Provides novel method in dealing with stochastic systems with unknown switching information.
  • Proposes more general theories for semi-Markovian jump systems with generally uncertain transition rates.
  • Discusses practical examples to verify the effectiveness of SMC theory in semi-Markovian jump systems.

This book aims at graduate and postgraduate students and for researchers in all engineering disciplines, including mechanical engineering, electrical engineering and applied mathematics, control engineering, signal processing, process control, control theory and robotics.

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