Modeling and Nonlinear Control for Complex MIMO Mechatronic Systems—2nd Edition

Dear Colleagues,

The field of complex MIMO (Multi-Input Multi-Output) mechatronic systems has garnered significant attention from researchers across various disciplines in recent years. Given the intricate interplay between mechanical, electrical, and control systems within these systems, there is a pressing need to develop advanced modeling techniques and nonlinear control strategies. Accurate modeling of these systems is crucial for achieving precise control, while nonlinear control methods are essential for managing their inherent complexities and uncertainties.

This Special Issue aims to focus on publishing cutting-edge research that addresses the challenges associated with modeling and nonlinear control for complex MIMO mechatronic systems. We invite submissions that present novel approaches to the modeling, simulation, and control of such systems. Whether you are from an academic or industrial background, we welcome original and innovative research studies that contribute to advancing our understanding and practical application of these systems.

Potential topics for this Special Issue include but are not limited to the following:

• Advanced modeling techniques for MIMO mechatronic systems;
• Dynamic analysis and system identification methods for nonlinear systems;
• Trajectory planning and optimization for MIMO mechatronic systems;
• Nonlinear control strategies and algorithms for complex systems;
• Observer design and observer-based control for MIMO systems;
• Robust and adaptive control methods for handling uncertainties and disturbances;
• Fault diagnosis and fault-tolerant control in MIMO mechatronic systems;
• Experimental validation and real-world applications of modeling and control strategies.

We believe that through collaborative efforts and knowledge exchange, we can drive forward the frontiers of modeling and nonlinear control for complex MIMO mechatronic systems. Together, let us create a future where these systems operate more efficiently, reliably, and safely. We look forward to receiving your contributions.

? 导入任务

Dr. Gang Li
Prof. Dr. Huimin Ouyang
Dr. Tong Yang
Guest Editors

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