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Advances in Neural Networks - ISNN 2005

Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part III

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Jun Wang

    1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

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  2. Xiao-Feng Liao

    1. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

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  3. Zhang Yi

    1. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3498)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ISNN 2005.

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About this book

The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005.

The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.

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Keywords

Table of contents (168 papers)

  1. Front Matter

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  2. Control Systems

    1. NN-Based Iterative Learning Control Under Resource Constraints: A Feedback Scheduling Approach

      • Feng Xia, Youxian Sun
      Pages 1-6

    2. Sequential Support Vector Machine Control of Nonlinear Systems by State Feedback

      • Zonghai Sun, Youxian Sun, Xuhua Yang, Yongqiang Wang
      Pages 7-14

    3. RBFNN-Based Multiple Steady States Controller for Nonlinear System and Its Application

      • Xiugai Li, Dexian Huang, Yihui Jin
      Pages 15-20

    4. Sliding Mode Control for Uncertain Nonlinear Systems Using RBF Neural Networks

      • Xu Zha, Pingyuan Cui
      Pages 21-29

    5. Adaptive Backstepping Neural Network Control for Unknown Nonlinear Time-Delay Systems

      • Weisheng Chen, Junmin Li
      Pages 30-35

    6. Multiple Models Adaptive Control Based on RBF Neural Network Dynamic Compensation

      • Junyong Zhai, Shumin Fei
      Pages 36-41

    7. Stability Analysis and Performance Evaluation of an Adaptive Neural Controller

      • Dingguo Chen, Jiaben Yang
      Pages 42-47

    8. Adaptive Inverse Control System Based on Least Squares Support Vector Machines

      • Xiaojing Liu, Jianqiang Yi, Dongbin Zhao
      Pages 48-53

    9. H-Infinity Control for Switched Nonlinear Systems Based on RBF Neural Networks

      • Fei Long, Shumin Fei, Shiyou Zheng
      Pages 54-59

    10. Neural Networks Robust Adaptive Control for a Class of MIMO Uncertain Nonlinear Systems

      • Tingliang Hu, Jihong Zhu, Chunhua Hu, Zengqi Sun
      Pages 60-68

    11. Adaptive Critic for Controller Malfunction Accommodation

      • Gary G. Yen
      Pages 69-78

    12. Output Based Fault Tolerant Control of Nonlinear Systems Using RBF Neural Networks

      • Min Wang, Donghua Zhou
      Pages 79-85

    13. Fault Tolerant Control of Nonlinear Processes with Adaptive Diagonal Recurrent Neural Network Model

      • Ding-Li Yu, Thoonkhin Chang, Jin Wang
      Pages 86-91

    14. Dealing with Fault Dynamics in Nonlinear Systems via Double Neural Network Units

      • Yong D. Song, Xiao H. Liao, Cortney Bolden, Zhi Yang
      Pages 92-97

    15. Neural Adaptive Singularity-Free Control by Backstepping for Uncertain Nonlinear Systems

      • Zhandong Yu, Qingchao Wang
      Pages 98-106

    16. Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks

      • Sungkwun Oh, Seokbeom Roh, Taechon Ahn
      Pages 107-112

    17. A Fuzzy CMAC Controller with Eligibility

      • Zhipeng Shen, Chen Guo, Jianbo Sun, Chenjun Shi
      Pages 113-118

    18. A Novel Intelligent Controller Based on Modulation of Neuroendocrine System

      • Bao Liu, Lihong Ren, Yongsheng Ding
      Pages 119-124

    19. Batch-to-Batch Optimal Control Based on Support Vector Regression Model

      • Yi Liu, Xianhui Yang, Zhihua Xiong, Jie Zhang
      Pages 125-130
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Other volumes

  1. Advances in Neural Networks – ISNN 2005

  2. Advances in Neural Networks – ISNN 2005

  3. Advances in Neural Networks – ISNN 2005

Editors and Affiliations

  • Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  • The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

  • Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R. China

    Zhang Yi

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