Recent Advances in Intelligent Control Systems

  • Wen Yu

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Fuzzy Control

  3. Neural Control

    1. Front Matter
      Pages 87-87
    2. Balaje T. Thumati, Jagannathan Sarangapani
      Pages 89-124
    3. Xubin Sun, Jinliang Ding, Tianyou Chai, Hong Wang
      Pages 125-148
    4. Alejandro García, Isaac Chairez, Alexander Poznyak
      Pages 149-168
  4. Fuzzy Neural Control

    1. Front Matter
      Pages 223-223
    2. Ning Wang, Meng Joo Er, Xianyao Meng
      Pages 225-247
    3. Chin-Teng Lin, Cheng-Hung Chen, Cheng-Jian Lin
      Pages 249-275
    4. Anmin Zhu, Simon X. Yang
      Pages 277-307
  5. Intelligent Control

    1. Front Matter
      Pages 309-309
    2. Aninda Bhattacharya, Alexander G. Parlos
      Pages 311-356
    3. Kyriakos G. Vamvoudakis, Frank L. Lewis
      Pages 357-374
  6. Back Matter
    Pages 375-376

About this book

Introduction

Intelligent control – control based on fuzzy logic and neural networks – has changed the face of industrial control engineering whether in terms of autonomous spacecraft operation, exploratory robots or increasing the profitability of mineral-processing or steel-rolling plants.

Recent Advances in Intelligent Control Systems gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of more traditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the successful application of computational intelligence for control.

Presenting state-of-the-art research, this collection will be of significant benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.

Keywords

Adaptive Control Control Control Applications Control Engineering Fuzzy Control Fuzzy Neural Networks Intelligent Control Neural Networks Theory Analysis automation mechatronics

Editors and affiliations

  • Wen Yu
    • 1
  1. 1.Departamento de Control AutomaticoCINVESTAV-IPNMéxico D.F.Mexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84882-548-2
  • Copyright Information Springer London 2009
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84882-547-5
  • Online ISBN 978-1-84882-548-2
  • About this book