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Advances in Neural Networks – ISNN 2015

12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Xiaolin Hu

    1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

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  2. Yousheng Xia

    1. Fuzhou University, Fuzhou, China

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  3. Yunong Zhang

    1. School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China

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  4. Dongbin Zhao

    1. Chinese Academy of Sciences, Institute of Automation, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9377)

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

Included in the following conference series:

Conference proceedings info: ISNN 2015.

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Table of contents (56 papers)

  1. Front Matter

    Pages I-XVI
    Download chapter PDF

  2. Intelligent Control

    1. Front Matter

      Pages 1-1
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    2. A Novel T-S Fuzzy Model Based Adaptive Synchronization Control Scheme for Nonlinear Large-Scale Systems with Uncertainties and Time-Delay

      • He Jiang, Dongsheng Yang
      Pages 3-10

    3. Finite-Time Control for Markov Jump Systems with Partly Known Transition Probabilities and Time-Varying Polytopic Uncertainties

      • Chen Zheng, Xiaozheng Fan, Manfeng Hu, Yongqing Yang, Yinghua Jin
      Pages 11-18

    4. Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation

      • Min Han, Yamei Zhang
      Pages 19-27

    5. Neural Dynamic Surface Control for Three-Phase PWM Voltage Source Rectifier

      • Liang Diao, Dan Wang, Zhouhua Peng, Lei Guo
      Pages 28-35

    6. A Terminal-Sliding-Mode-Based Frequency Regulation

      • Hong Liu, Dianwei Qian
      Pages 36-42

    7. A New Discrete-Time Iterative Adaptive Dynamic Programming Algorithm Based on Q-Learning

      • Qinglai Wei, Derong Liu
      Pages 43-52

    8. Adaptive Neural Network Control for a Class of Stochastic Nonlinear Strict-Feedback Systems

      • Zifu Li, Tieshan Li
      Pages 53-61

    9. Event-Triggered H  ∞  Control for Continuous-Time Nonlinear System

      • Dongbin Zhao, Qichao Zhang, Xiangjun Li, Lingda Kong
      Pages 62-70

    10. Adaptive Control of a Class of Nonlinear Systems with Parameterized Unknown Dynamics

      • Jing-Chao Sun, Ning Wang, Yan-Cheng Liu
      Pages 71-80

    11. H  ∞  Control Synthesis for Linear Parabolic PDE Systems with Model-Free Policy Iteration

      • Biao Luo, Derong Liu, Xiong Yang, Hongwen Ma
      Pages 81-90

    12. Exponential Synchronization of Complex Delayed Dynamical Networks with Uncertain Parameters via Intermittent Control

      • Haoran Zhao, Guoliang Cai
      Pages 91-98

    13. Inverse-Free Scheme of G1 Type to Velocity-Level Inverse Kinematics of Redundant Robot Manipulators

      • Yunong Zhang, Liangyu He, Jingyao Ma, Ying Wang, Hongzhou Tan
      Pages 99-108

    14. Design of Fuzzy-Neural-Network-Inherited Backstepping Control for Unmanned Underwater Vehicle

      • Yuxin Fu, Yancheng Liu, Siyuan Liu, Ning Wang, Chuan Wang
      Pages 109-118
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  1. Advances in Neural Networks – ISNN 2015

Keywords

About this book

The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015. The 55 revised full papers presented were carefully reviewed and selected from 97 submissions. These papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, memristive neurodynamics, computer vision, signal processing, machine learning,  and optimization.

Editors and Affiliations

  • Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Xiaolin Hu

  • Fuzhou University, Fuzhou, China

    Yousheng Xia

  • School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China

    Yunong Zhang

  • Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Dongbin Zhao

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