Innovative Techniques and Applications of Modelling, Identification and Control

Selected and Expanded Reports from ICMIC’17

  • Quanmin Zhu
  • Jing Na
  • Xing Wu

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 467)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Qiuyue Yu, Lei Cheng, Xin Wang, Chuang Shang, Rui Peng, Quanmin Zhu
    Pages 31-51
  3. Hongjie Liang, Yue Ma, Yu Wang, Jinning Zhi, Yi Li, Yifan Peng
    Pages 63-92
  4. Tingli Su, Shenglun Yi, Xuebo Jin, Jianlei Kong
    Pages 119-132
  5. Xiao-qiang Chen, Shou-wang Zhao, Ying Wang, Min Li
    Pages 147-168
  6. Guangyue Xue, Jing Guo, Jingkai Wang, Qiang Chen
    Pages 181-194
  7. Li-rong Wu, Zheng-ming Xiao, Heng Zhang
    Pages 205-225
  8. Liang Tao, Qiang Chen, Yikun Luo, Yurong Nan
    Pages 227-250
  9. Zhonghua Han, Shiyao Wang, Xiaoting Dong, Xiaofu Ma
    Pages 273-289
  10. Feng Qiao, Haochen Sun, Zhaoyan Wang, Fashakin Alexander Tobi
    Pages 291-305
  11. Shuai Li, Xiaofeng Zhou, Haibo Shi, Zhongwei Wang
    Pages 307-320
  12. Shikha Singh, Ahmad Taher Azar, Quanmin Zhu
    Pages 321-330
  13. Jun Yang, Yafei Liu, Jing Na, Guanbin Gao
    Pages 331-343
  14. Omozuwati L. Enearu, Yong Kang Chen, Christos Kalyvas, Ogbonda Douglas Chukwu
    Pages 345-356
  15. Bin Wang, Guanbin Gao, Tingli Su, Jing Na
    Pages 375-388
  16. Yongda Ma, Ruibo Yuan, Banghua He, Honghai Jiang, Ze Liu, Yayu Huang et al.
    Pages 389-408
  17. Hongjun San, Jiupeng Chen, Junjie Zhao, Pengfei Li, Junsong Lei
    Pages 427-441
  18. Yuzhen Zhang, Qing Li, Weicun Zhang
    Pages 443-453

About this book


This book presents the most important findings from the 9th International Conference on Modelling, Identification and Control (ICMIC’17), held in Kunming, China on July 10–12, 2017. It covers most aspects of modelling, identification, instrumentation, signal processing and control, with a particular focus on the applications of research in multi-agent systems, robotic systems, autonomous systems, complex systems, and renewable energy systems.

The book gathers thirty comprehensively reviewed and extended contributions, which help to promote evolutionary computation, artificial intelligence, computation intelligence and soft computing techniques to enhance the safety, flexibility and efficiency of engineering systems. Taken together, they offer an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, mechanical engineering and communication engineering.



System Identification Intelligent Control Adaptive Control Signal Processing Condition Monitoring Data-driven Modeling and Control Soft Computing Techniques Machine Learning and Artificial Intelligence Big Data and Cloud Computing Mechatronics Control in Education

Editors and affiliations

  • Quanmin Zhu
    • 1
  • Jing Na
    • 2
  • Xing Wu
    • 3
  1. 1.Department of Engineering Design and MathematicsUniversity of the West of EnglandBristolUnited Kingdom
  2. 2.Faculty of Mechanical and Electrical EngineeringKunming University of Science and TechnologyKunmingChina
  3. 3.Faculty of Mechanical and Electrical EngineeringKunming University of Science and TechnologyKunmingChina

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-10-7211-6
  • Online ISBN 978-981-10-7212-3
  • Series Print ISSN 1876-1100
  • Series Online ISSN 1876-1119
  • Buy this book on publisher's site
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