IEEE Symposium on Computational Intelligence in Control and Automation(IEEE CICA)

In the last two decades, Computational Intelligence has achieved the significant progress in Control and Automation. The purpose of the IEEE Symposium on Computational Intelligence in Control and Automation (IEEE CICA 2021) is to bring together researchers, engineers, practitioners, and students from around the world to discuss and present their latest advances in the theory and application of computational intelligence in control and automation.


Topics covered include theories and applications of computational intelligence technologies in Control and Automation, such as neural networks, fuzzy systems, evolutionary computation, and other emerging techniques in the following areas (but not limited to):

Control and Decision

  • Neural Network Control
  • Fuzzy Systems and Control
  • Evolutionary Control
  • Intelligent and AI Based Control
  • Model-Predictive Control
  • Adaptive and Optimal Control
  • Large-scale Systems and Decentralized Control
  • Intelligent Control Systems
  • Industrial Automations
  • Intelligent Decision Making and Support
  • Expert and Decision Support Systems

System Modeling and Identification

  • System Identification and Learning
  • Fault Detection and Diagnosis
  • Complex System Modelling
  • Dynamic Systems Modeling
  • Time Series and System Modeling

Hybrid Control

  • Fuzzy Evolutionary Systems and Control
  • Fuzzy Neural Systems and Control
  • Neural Genetic Systems and Control
  • Hybrid Intelligent Control
  • Hierarchical Systems and Control
  • Granular Computing and Control

Applications of Control and Automation

  • Energy and Power Systems
  • Robotics
  • Manufacturing Systems
  • Transportation Systems
  • Medical and Health Care Systems
  • Rehabilitation Systems
  • Socio-economical Systems
  • Environmental Systems
  • Communication Networks and Protocol

Symposium Chairs

Daoyi Dong
UNSW Canberra, Australia
Xiaojun Zeng
The University of Manchester, UK

Programme Committee

Ivo Bukovský, Czech Technical University, The Czech Republic
Marco Cococcioni, University of Pisa, Italy
Daoyi Dong, University of New South wales, Australia
Qing Gao, Behang University, China
Xiao-Hua Yu, California Polytechnic State University, USA
Frank Jiang, Deakin University, Australia
Jing-Sin Liu, Institute of Information Science, Academia Sinica, Taiwan
Huadong Mo, University of New South Wales, Australia
Radu-Emil Precup, Polytechnic University of Timisoara, Romania
Chin-Shiuh Shieh, National Kaohsiung University of Science and Technology, Taiwan
Balaje Thumati, The Boeing Company, USA
Zhi Wang, Nanjing University, China
Xiaojun Zeng, The University of Manchester, UK
Xin Xu, Nanjing University, China
Xiaopeng Luo, Nanjing University, China
Hongbin Song, The Chinese University of Hong Kong, China
Qi Yu, University of New South Wales, Australia
Shibei Xue, Shanghai Jiao Tong University, China
Hazem N. Nounou, Texas A&M University at Qatar
Guillaume Sandou, Université Paris-Sud, Université Paris-Saclay, France
Mingcong Deng, Tokyo University of Agriculture and Technology, Japan
Yuanlong Wang, Griffith University, Australia