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Various complex mechatronic systems are widely applied in industries such as robotics, micro-electro-mechanical systems (MEMS), and motor or hydraulic-driven equipment, and control technology is one of the key issues for mechatronic systems to achieve the desired high performance. However, for those complex mechatronic systems, mechanism nonlinearities and uncertainties (e.g., internal uncertainties, external unstructured environments, and undesired disturbances) are much more obvious and bring significant negative effects. Thus, effective modeling, identification, and dynamic analysis are necessary for complex mechatronic systems with nonlinearity and uncertainty. Model-based advanced control designs, such as adaptive control, robust control, sliding-mode control, backstepping control, and H-infinite control, are the corresponding solutions to improve system performance. Advanced modeling and control is one of the key points in industries for those complex mechatronic systems, where nonlinearity and uncertainty become more and more challenging to pursue higher system performance. The topic of this Special Section in IEEE Access is mainly focused on the categories of control systems, robotics, and automation and also covers other categories such as systems, man, and cybernetics, industrial electronics, and mechanical engineering. We received a total of 104 submissions, and after a rigorous review process, 29 articles have been selected for publication, which are briefly discussed next.

IEEE Access Special Section Editorial: Advanced Modeling and Control of Complex Mechatronic Systems With Nonlinearity and Uncertainty