Intelligent Computing, Networked Control, and Their Engineering Applications

1. Advanced Evolutionary Methods and Applications

   1. A Method of Ridge-NNG-Based Multivariate Fault Isolation in Presentence of Collinearity

      • Yimin Guo, Jianguo Wang, Banghua Yang, Shiwei Ma, Minrui Fei, Yao Yuan et al.

      Pages 171-180

   2. Improved Artificial Weed Colonization Based Multi-objective Optimization Algorithm

      • Ruochen Liu, Ruinan Wang, Manman He, Xiao Wang

      Pages 181-190

   3. Noise-Removal Method for Manifold Learning

      • Zhonghua Hao, Jingjing Liu, ShiWei Ma, Xin Jin, Xin Lian

      Pages 191-200

   4. Dynamic Process Fault Isolation and Diagnosis Using Improved Fisher Discriminant Analysis and Relative Error of Variance

      • Huifeng Tian, Li Jia

      Pages 201-211

   5. An LMI Approach to Iterative Learning Control Based on JITL for Batch Processes

      • Liuming Zhou, Li Jia

      Pages 212-222

   6. Theme-Based Spider for Academic Paper

      • Peifeng Yin, Qiyu Shao, Xingfu Wang, Weihua Wang, Fuyou Miao, Chenxi Shao

      Pages 223-230

   7. Iterative Learning Identification with Bias Compensation for Stochastic Linear Time-Varying Systems

      • Fazhi Song, Yang Liu, Zhile Yang, Xiaofeng Yang, Ping He

      Pages 231-239

   8. A Skylight Opening Prediction Method Based on Parallel Dirichlet Process Mixture Model Clustering

      • Yue Yu, Li Deng, Lili Wang, Honglin Pang

      Pages 240-251

   9. Two-Layer Harmony Search Algorithm for a Robust Flow Shop Scheduling Problem

      • Bo Wu, Bing Wang, Xingbao Han

      Pages 252-261

   10. Heuristic Based Terminal Iterative Learning Control of ISBM Reheating Processes

       • Ziqi Yang, Zhile Yang, Kang Li, Wasif Naeem, Kailong Liu

       Pages 262-271

2. Advanced Machine Learning Methods and Applications

   1. Front Matter

      Pages 273-273

      PDF

   2. Application of LSSVM in Performance Test of Pneumatic Valves

      • Jiayuan Li, Wei Sun

      Pages 275-281

   3. A Two-Stage Optimal Detection Algorithm Research for Pedestrians in Front of the Vehicles

      • Yunlian Shao, Mei-hua Xu, Feng Ran, Dong-yang Shen

      Pages 282-292

   4. Collision Free Path Planning for Welding Robot Based on CG-MOPSO

      • Xuewu Wang, Yixin Yan, Xingsheng Gu

      Pages 293-303

   5. Taxi Driving Anomalous Route Detection Using GPS Sampling Data

      • Zhiguo Ding

      Pages 304-312

   6. Study on Flame Combustion Stability Based on Particle Swarm Optimization Feature-Weighted SVM

      • Rongbao Chen, Honghui Jiang, Yang Liu

      Pages 313-323

   7. Study on Lamb Wave Dispersion Curves for the Testing of Metal Plates

      • Jinggang Xu, Jingshan Deng

      Pages 324-332

   8. Automatic Character Detection System for IC Test Handler Based on Active Learning SVM

      • Tianshan Wang, Fan Jiang, Xiaojin Zhu, Hesheng Zhang, Zhiyuan Gao

      Pages 333-342

   9. Active RFID Tags for Smart Shelf Based on LF Assistant Devices

      • Bing Bai, Xiaojin Zhu, Hesheng Zhang, Zhaoxun Zhang

      Pages 343-352

   10. Mean Squared Error vs. Frame Potential for Unsupervised Variable Selection

       • Federico Zocco, Seán McLoone

       Pages 353-362

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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