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Advances and Applications in Sliding Mode Control systems

  • Ahmad Taher Azar
  • Quanmin Zhu

Part of the Studies in Computational Intelligence book series (SCI, volume 576)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Ahmad Taher Azar, Fernando E. Serrano
    Pages 1-42
  3. M. Taherkhorsandi, K. K. Castillo-Villar, M. J. Mahmoodabadi, F. Janaghaei, S. M. Mortazavi Yazdi
    Pages 43-78
  4. Maria Letizia Corradini, Andrea Giantomassi, Gianluca Ippoliti, Sauro Longhi, Giuseppe Orlando
    Pages 79-105
  5. Bourhen Torchani, Anis Sellami, Germain Garcia
    Pages 137-165
  6. Youssef Errami, Mohammed Ouassaid, Mohamed Cherkaoui, Mohamed Maaroufi
    Pages 167-200
  7. Jorge Rivera, Javier Espinoza-Jurado, Alexander Loukianov
    Pages 201-226
  8. G. V. Lakhekar, L. M. Waghmare
    Pages 279-304
  9. Neila Mezghani Ben Romdhane, Tarak Damak
    Pages 327-352
  10. Pyare Mohan Tiwari, S. Janardhanan, Mashuq un-Nabi
    Pages 381-406
  11. Hemza Mekki, Djamel Boukhetala, Ahmad Taher Azar
    Pages 407-433
  12. Sundarapandian Vaidyanathan, Christos K. Volos, Viet-Thanh Pham
    Pages 571-590

About this book

Introduction

This book describes the advances and applications in Sliding mode control (SMC) which is widely used as a powerful method to tackle uncertain nonlinear systems. The book is organized into 21 chapters which have been organised by the editors to reflect the various themes of sliding mode control. The book provides the reader with a broad range of material from first principles up to the current state of the art in the area of SMC and observation presented in a clear, matter-of-fact style. As such it is appropriate for graduate students with a basic knowledge of classical control theory and some knowledge of state-space methods and nonlinear systems. The resulting design procedures are emphasized using Matlab/Simulink software.

 

 

Keywords

Adaptive Sliding Mode Control Computational Intelligence Sliding Mode Control and Optimisation Sliding Mode Control in Stochastic, Uncertain or Hybrid Systems Sliding Mode Estimation and Optimisation Sliding Mode Identification

Editors and affiliations

  • Ahmad Taher Azar
    • 1
  • Quanmin Zhu
    • 2
  1. 1.Faculty of Computers and InformationBenha UniversityBenhaEgypt
  2. 2.Department of Engineering Design and MathematicsUniversity of the West of EnglandBristolUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11173-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-11172-8
  • Online ISBN 978-3-319-11173-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site