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Recent Advances in Intelligent Control Systems

  • Book
  • © 2009

Overview

Editors:
  1. Wen Yu

    1. Departamento de Control Automatico, CINVESTAV-IPN, México D.F., Mexico

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  • Surveys the state of the art in intelligent control systems giving the researcher and practitioner a self-contained reference to the latest results
  • A broad ranging tutorial in the key topics in fuzzy and neural control for the student
  • Includes supplementary material: sn.pub/extras

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xviii
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  3. Neural Control

    1. Front Matter

      Pages 87-87
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    2. Estimation and Control of Nonlinear Discrete-time Systems

      • Balaje T. Thumati, Jagannathan Sarangapani
      Pages 89-124

    3. Neural Networks Based Probability Density Function Control for Stochastic Systems

      • Xubin Sun, Jinliang Ding, Tianyou Chai, Hong Wang
      Pages 125-148

    4. Hybrid Differential Neural Network Identifier for Partially Uncertain Hybrid Systems

      • Alejandro García, Isaac Chairez, Alexander Poznyak
      Pages 149-168

    5. Real-time Motion Planning of Kinematically Redundant Manipulators Using Recurrent Neural Networks

      • Jun Wang, Xiaolin Hu, Bo Zhang
      Pages 169-193

    6. Adaptive Neural Control of Uncertain Multi-variable Nonlinear Systems with Saturation and Dead-zone

      • Mou Chen, Shuzhi Sam Ge, Bernard Voon Ee How
      Pages 195-222

  4. Fuzzy Neural Control

    1. Front Matter

      Pages 223-223
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    2. An Online Self-constructing Fuzzy Neural Network with Restrictive Growth

      • Ning Wang, Meng Joo Er, Xianyao Meng
      Pages 225-247

    3. Nonlinear System Control Using Functional-link-based Neuro-fuzzy Networks

      • Chin-Teng Lin, Cheng-Hung Chen, Cheng-Jian Lin
      Pages 249-275

    4. An Adaptive Neuro-fuzzy Controller for Robot Navigation

      • Anmin Zhu, Simon X. Yang
      Pages 277-307

  5. Intelligent Control

    1. Front Matter

      Pages 309-309
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    2. Flow Control of Real-time Multimedia Applications in Best-effort Networks

      • Aninda Bhattacharya, Alexander G. Parlos
      Pages 311-356

    3. Online Synchronous Policy Iteration Method for Optimal Control

      • Kyriakos G. Vamvoudakis, Frank L. Lewis
      Pages 357-374

  6. Back Matter

    Pages 375-376
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Keywords

About this book

"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 application of computational intelligence for control.

Presenting state-of-the-art research, this collection will be of 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.

Editors and Affiliations

  • Departamento de Control Automatico, CINVESTAV-IPN, México D.F., Mexico

    Wen Yu

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