2026 6th International Conference on Control Theory and Applications (ICoCTA 2026)

Professor Jie Chen & Professor Kemin Zhou
City University of Hong Kong, China & Nanjing University, China
General Chairs of ICoCTA 2026

2026 6th International Conference on Control Theory and Applications (ICoCTA 2026) will be held in Qingdao, China during September 25-27, 2026. It is organized by Shandong University of Science and Technology.
Control theory and engineering have witnessed dramatic achievements, which have made possible space travel and communication satellites, have assisted in the design of safe and efficient aircraft, ships, trains and cars, and have helped in developing cleaner chemical processes while addressing environmental concerns. Control technology constantly improves the quality of human life, as a driver of technological progress and society industrialization. Nowadays, control is more secure and more exciting than it was. The subject now seems to be morphing into the wider and more general topic of systems engineering and control, especially accompanied by emerging new technologies such as AI, 5G, edge computing etc. The topic of control theory and applications is still therefore wide open and will expand, with even greater challenges.
2026 6th International Conference on Control Theory and Applications (ICoCTA 2026) aims to bring together researchers, engineers, scientists and industry professionals in a single platform and present their stimulating research and knowledge transfer ideas in Control Theory and Applications. However, we also recognize that the future for researchers and engineers is one where they will be working in interdisciplinary teams to solve new, complex and evolving problems that will require innovative solutions. Therefore, we encourage the participation of other disciplines in this conference where multidisciplinary research and knowledge transfer projects are presented.

The topics of interest include, but are not limited to:
Adaptive Systems Linear Systems
Aerospace Systems Machine Learning for Control
Automation Mechatronics
Automotive Control Medical Applications
Autonomous System MEMS in Control
Cognitive Control Intelligent Systems
Complex Systems Modeling
Computational Methods Multivariable Control
Control Applications Network Control Systems
Control Education Noise and Vibration Control
Control in Manufacturing and Production Nonlinear Systems
Cyber Physical Systems Optimization
Cyber Security and Privacy Process Control
Decentralized Control Real-time Control
Design Methodologies Reconfigurable Control
Discrete Events Systems Robotics
Embedded Systems Robust Control
Fault Detection Learning Systems
Fault Management Stochastic Systems
Guidance & Flight Control Uncertain Systems
Human-in-the-Loop Synchronization
Hybrid Systems System Identification

CONTACT US
Email: inquiry@icocta.org