Nature-Inspired Computing for Control Systems

  • Hiram Eredín Ponce Espinosa

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 40)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Hiram Eredín Ponce Espinosa, José Roberto Ayala-Solares
    Pages 1-10
  3. General Control Approaches

  4. Control Tuning and Adaptive Control Systems

    1. Front Matter
      Pages 71-71
    2. José M. Araújo, Carlos E. T. Dórea
      Pages 145-167
    3. Abdesselem Boulkroune, Salim Issaouni, Hachemi Chekireb
      Pages 169-192
  5. Robotics Applications

    1. Front Matter
      Pages 193-193
    2. Pedro Ponce, Arturo Molina, Israel Cayetano, Jose Gallardo, Hugo Salcedo, Jose Rodriguez et al.
      Pages 195-230
    3. Ernesto Moya-Albor, Jorge Brieva, Hiram Eredín Ponce Espinosa
      Pages 231-263
    4. Oscar A. Silva, Miguel A. Solis
      Pages 265-289

About this book


The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.


Biologically-Inspired Control Meta-Heuristic Optimization Adaptive Control Systems Neuro-Fuzzy Controllers Controlling Quadrotors Spiking Neural Networks Grey Wolf Optimizer (GWO) Robotic Swarm Control Nonlinear PID Controller MIMO Nonlinear Systems Multi-Layer Perceptron Neural Networks Optical Flow Models

Editors and affiliations

  • Hiram Eredín Ponce Espinosa
    • 1
  1. 1.Faculty of EngineeringUniversidad PanamericanaMexico CityMexico

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-26228-4
  • Online ISBN 978-3-319-26230-7
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site
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