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 2023) 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
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
d.dong@adfa.edu.au
UNSW Canberra, Australia - Xiaojun Zeng
x.zeng@manchester.ac.uk
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