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Servo motor systems, as the core actuation units in modern industrial automation, play a pivotal role in defining the performance benchmarks of high-end equipment, including industrial robots, CNC machine tools, and aerospace actuation systems. Their dynamic response characteristics, control accuracy, and disturbance rejection robustness directly influence the operational efficiency, precision, and reliability of these advanced systems. Driven by the rapid evolution of third-generation wide-bandgap power electronics, high-performance embedded computing platforms, and AI-driven algorithms, servo control technology is undergoing a transformative shift toward ultrahigh precision, enhanced reliability, intelligent adaptability, and multi-physics disturbance resilience, presenting both unprecedented opportunities and complex challenges. This special topic delves into cutting-edge theoretical advancements and critical technological innovations for high-quality servo motor system control. Topics of interest include but are not limited to:
1. High-precision modeling and multi-parameter online identification
2. Time-optimal/energy-optimal trajectory planning algorithms
3. Model predictive control and its robustness optimization methods
4. Cooperative control strategies for multi-motor servo systems
5. Modulation technologies for SiC/GaN servo motor systems
6. Disturbance suppression techniques for integrated joint modules
7. Fast fault diagnosis and stable fault-tolerant control algorithms
8. Applications of artificial intelligence in servo motor systems
Researcher Shangjian Dai, Southeast University, China
Prof. Jianyu Pan, Chongqing University, China
Prof. Zicheng Liu, Huazhong University of Science and Technology, China
Researcher Yanfei Cao, Zhejiang University, China
Associate Prof. Lefei Ge, Northwestern Polytechnical University, China
Associate Prof. Xuewei Xiang, Chongqing University, China
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