Dear Colleagues, 

With the in-depth development of control theory, people increasingly hope that control methods can handle more complex dynamic systems, especially unknown systems with strong nonlinearity. This is the enormous challenge and opportunity that control theory is currently facing. In fact, real systems are filled with various more complex factors to consider, such as the unknown dynamics of the system, the high nonlinearity of system dynamics, the impact of changing environments, and the uncertainty of system models. Mathematical models are approximations to a certain extent of real-world systems, but there may be many unknown dynamics in real-world systems that were not considered during modeling, and may even be difficult or impossible to model, such as transportation systems, socio-economic systems, etc. The control of these complex systems will break through the scope of traditional control theory, requiring us to develop new control methods and theories that could "learn" the controlled system.  Thus, we are interested in the collective subjects in the framework of dynamic systems and nonlinearity, control theory, system modelling, dynamics simulation and the study of system dynamic characteristics. For this, it is important to collect the experiences of different dynamic system aspects that have been implemented and consider their impacts. Research articles and reviews in this area of study are welcome. 

We look forward to receiving your contributions. 

Prof. Dr. Changming Liu 

Section Editors