Intelligent Computing, Networked Control, and Their Engineering Applications

1. Front Matter

   Pages I-XIX

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2. Advanced Fuzzy and Neural Network Theory and Algorithms

   1. Front Matter

      Pages 1-1

      PDF

   2. A Robust Fuzzy c-Means Clustering Algorithm for Incomplete Data

      • Jinhua Li, Shiji Song, Yuli Zhang, Kang Li

      Pages 3-12

   3. Multi-objective Optimization Improved GA Algorithm and Fuzzy PID Control of ATO System for Train Operation

      • Longda Wang, Xingcheng Wang, Dawei Sun, Hua Hao

      Pages 13-22

   4. Research on AGV Trajectory Tracker Based on Fuzzy Control

      • Tongqing Feng, Bin Jiao

      Pages 23-32

   5. Stability Determination Method of Flame Combustion Based on Improved BP Model with Hierarchical Rate

      • Rongbao Chen, Zipei Cao, Benxian Xiao

      Pages 33-43

   6. A Genetic Neural Network Approach for Production Prediction of Trailing Suction Dredge

      • Zhen Su, Jingqi Fu, Jian Sun

      Pages 44-52

   7. Orthogonal Matching Pursuit for Multilayer Perceptions Neural Networks Model Reduction

      • Xiaoquan Tang, Xiaolin Wang, Long Zhang

      Pages 53-61

3. Advanced Evolutionary Methods and Applications

   1. Front Matter

      Pages 63-63

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   2. A Fault Diagnosis Method of Gear Based on SVD and Improved EEMD

      • Mengmeng Song, Shungen Xiao

      Pages 65-74

   3. Research on Fault Data Wavelet Threshold Denoising Method Based on CEEMDAN

      • Zhouqun Liu, Guochu Chen

      Pages 75-83

   4. Evaluation of K-SVD Embedded with Modified \(\ell _{1}\)-Norm Sparse Representation Algorithm

      • Meixi Wang, Jingjing Liu, Shiwei Ma, Wanquan Liu

      Pages 84-93

   5. Study on Path Planning of Unmanned Vehicle Based on Kinematic and Dynamic Constraints

      • Li Li, Benshan Zhong, Ziyan Geng

      Pages 94-104

   6. Hybrid Discrete EDA for the No-Wait Flow Shop Scheduling Problem

      • Zewen Sun, Xingsheng Gu

      Pages 105-114

   7. Design and Optimization of Compliant Revolute Joint Based on Finite Element Method

      • Li Li, Ziyan Geng, Benshan Zhong

      Pages 115-124

   8. Optimal Sensor Placement Based on Relaxation Sequential Algorithm

      • Hong Yin, Kangli Dong, An Pan, Zhenrui Peng, Zhaoyuan Jiang, Shaoyuan Li

      Pages 125-134

   9. Temperature and Humidity Compensation for MOS Gas Sensor Based on Random Forests

      • Peng Xu, Kai Song, Xiaodong Xia, Yinsheng Chen, Qi Wang, Guo Wei

      Pages 135-145

   10. Study on the Magnetic Coupling and Decoupling Algorithm of Electrical Variable Transmission

       • Qiwei Xu, Jing Sun, Yiming Su, Weidong Chen, Jianshu Huang, Shumei Cui

       Pages 146-155

   11. An Improved Dual Grey Wolf Optimization Algorithm for Unit Commitment Problem

       • Jian Liu, Sanming Liu

       Pages 156-163

   12. A New Quantum-Behaved Particle Swarm Optimization with a Chaotic Operator

       • Zhenghua Wu, Dongmei Wu, Haidong Hu, Chuangye Wang, Hao Gao

       Pages 164-170

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions.
The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

• Advanced Fuzzy Theory
• Neural Networks
• Machine Learning
• Intelligent Modeling
• Process Monitoring and Control
• Nonlinear System Modeling and Control
• Networked Systems
• Sliding Mode Control
• New Materials and Devices
• Evolutionary Methods

• Nanjing University of Posts and Telecommunications, Nanjing, China

  Dong Yue, Tengfei Zhang

• Shanghai University , Shanghai, China

  Chen Peng, Dajun Du, Min Zheng

• Swinburne University of Technology, Melbourne, Australia

  Qinglong Han

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