Recent Advances on Nonlinear Dynamics Applied in Electromechanical Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 January 2025 | Viewed by 87
Special Issue Editors
Interests: vibration; nonlinear dynamics; rotor dynamics
Interests: rotor dynamics; control; mechanical dynamics; vibration
Special Issue Information
Dear Colleagues,
With industry development towards high output power, intelligence, and low energy consumption, the design of electromechanical systems is becoming increasingly complex, which inevitably leads to nonlinearity and instability of the system. An electromechanical system is a typical nonlinearity-involved system. The recent advances in design and control are to improve dynamic performance, steady-state stability, and anti-interference ability to meet modern industry upgrading requirements. In recent years, with the increasing complexity of application scenarios, one has higher anticipation for the nonlinear dynamic performance, intelligence, and automation of electromechanical systems, which also brings new challenges to the research, design, and control of electromechanical systems. Therefore, how to combine nonlinear dynamics, artificial intelligence, and automation with the research, design, and control of the electromechanical system has become a hot issue. The advanced control and analysis methods contribute to developing and improving nonlinear electromechanical systems with high stability and performance. Therefore this topic is aimed to gather the recent advances on nonlinear dynamics and control of electromechanical systems to provide new perspectives to the research and design of the products. The main topics of such Special Issues include, but are not limited to:
- Intelligent control of electromechanical systems;
- Data-driven electromechanical control system;
- Electromechanical control system based on reinforcement learning;
- Dynamic Modeling for complex nonlinear systems;
- Advanced analysis or computing methods in dynamic systems;
- Stability control methods for strong nonlinear systems;
- Nonlinear analysis of the electromechanical systems;
- Stability, bifurcation theory for the electromechanical systems
Dr. Yeyin Xu
Prof. Dr. Zhaobo Chen
Prof. Dr. Yinghou Jiao
Guest Editors
Manuscript Submission Information
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Keywords
- dynamics
- vibrations
- electromechanical systems
- intelligent control
- data-driven
- system modeling
- computing method
