Nonlinear Dynamics and Control in Electromechanical Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: 20 December 2026 | Viewed by 1453
Special Issue Editors
Interests: vibration; nonlinear dynamics; rotor dynamics
Special Issues, Collections and Topics in MDPI journals
Interests: rotor dynamics; control; mechanical dynamics; vibration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of nonlinear dynamics and control theory in electromechanical systems such as high-performance motors, flexible robots, and micro-electromechanical systems (MEMS) is currently a popular topic for research. The key for these applications lies in exploring and utilizing nonlinear behaviors, including chaos, bifurcations, stability, and limit cycles, to overcome the limitations of traditional linear control methods and achieve control with higher precision, greater efficiency and enhanced robustness. However, challenges exist for this approach. The multi-variable, strongly coupled, and time-varying nature of electromechanical systems make accurate modeling difficult. The design of nonlinear controllers faces substantial real-time computational burdens, and requires a balance between theoretical rigor and practical implementability. Effort can be made in the in depth integration of intrinsic nonlinear properties and high-performance computational technologies with advanced nonlinear control strategies. Alternatively, the neural network could be combined with the nonlinear solver or with the control algorithm to achieve optimized nonlinear solutions or optimal control in electromechanical systems. Therefore, this Special Issue aims to gather recent advances in nonlinear dynamics and the control of electromechanical systems to drive research and design of the next generation of products, with a focus on greater efficiency, autonomy, and reliability. The main topics include, but are not limited to, the following:
- Nonlinear dynamics of electromechanical systems;
- Stability and bifurcation theory for electromechanical systems;
- Advanced analysis or computing methods in dynamic systems;
- Dynamic modeling for complex nonlinear systems;
- Data-driven methods for analysis or control;
- Stability control methods for strong nonlinear systems;
- Nonlinear controller for electromechanical systems;
- Intelligent control of electromechanical systems;
- Electromechanical control systems based on reinforcement learning.
Dr. Yeyin Xu
Prof. Dr. Zhaobo Chen
Prof. Dr. Yong Xie
Guest Editors
Manuscript Submission Information
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Keywords
- nonlinear dynamics
- vibrations
- electromechanical systems
- intelligent control
- data-driven
- system modeling
- computing method
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