Special Session 16
Modeling, Control, and Detection of Intelligent Systems 智能系统的建模控制与检测
Introduction:
With the rapid advancement of artificial intelligence and IoT technologies, intelligent systems are increasingly deployed in industrial, transportation, and healthcare applications. However, critical challenges persist in modeling, control, and detection: 1) Under complex dynamic environments, traditional modeling methods struggle to balance accuracy and computational efficiency; 2) Uncertain disturbances and task variations demand control systems that combine adaptability with robustness; and 3) Anomaly detection requires high sensitivity and real-time response despite limited labeled data. Addressing these issues is essential for enhancing system reliability, safety, and autonomy. This special session focuses on core theories and technologies across the lifecycle of intelligent systems, aiming to integrate data-driven and physics-based modeling, develop advanced control algorithms, and advance multi-source information fusion for detection. These efforts support national strategic needs in smart manufacturing and energy management. By fostering interdisciplinary collaboration, we aim to advance intelligent systems toward higher efficiency, trustworthiness, and interpretability.
随着人工智能和物联网技术的快速发展,智能系统在工业、交通、医疗等领域的应用日益广泛,但其建模、控制与检测仍面临关键挑战:1)复杂动态环境下,传统建模方法难以平衡精度与计算效率;2)不确定干扰和任务变化要求控制系统兼具自适应能力与鲁棒性;3)异常检测需在有限标注数据下实现高灵敏度和实时响应。解决这些问题对提升智能系统的可靠性、安全性和自主性至关重要。本专题聚焦智能系统全生命周期中的核心理论与技术,旨在推动数据驱动与机理模型的融合、新型控制算法的设计,以及多源信息协同检测方法的发展,为智能制造、智慧能源等国家战略需求提供支撑。通过跨学科交流,促进智能系统向高效、可信、可解释的方向迈进。
Organizers:
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Xinghua Liu,Xi'an University of Technology, China Professor and PhD Supervisor, Distinguished Young Scholar of Shaanxi Province, High-level Talent of Shaanxi Province. His main research interests include networked control systems, security and control of cyber-physical systems, and modeling, fault diagnosis, and secure control of cyber-physical power systems (CPS). To date, he has published over 90 SCI-indexed academic papers, including more than 50 articles in IEEE Transactions such as IEEE TAC, TCYB, TII, TSMC, TCASI, TITS, TTE, TASE, and TCASII, as well as top-tier energy journals. Among these, 8 papers are recognized as ESI Highly Cited Papers. He has authored 2 English monographs and holds 14 granted/applied national invention patents. He has led or co-led 24 national, provincial, and industry-sponsored projects, including collaborations with the State Grid and other enterprises. His achievements include 2 provincial/ministerial-level science and technology awards, 14 other academic/research awards and competition prizes, as well as over 10 teaching and education-related honors. |
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Yankai Li, Xi'an University of Technology, China Yankai Li is a research professor and master's supervisor at Xi'an University of Technology, and a high-level innovative and entrepreneurial talent under the Qinchuangyuan Initiative of Shaanxi Province. He graduated from Nanjing University of Aeronautics and Astronautics in September 2020. From November 2018 to March 2019, he was a visiting scholar at the National University of Singapore, and from April 2019 to April 2020, he conducted research at the University of Adelaide, Australia. His long-term research focuses on composite anti-disturbance control for complex systems, including unmanned helicopters and silicon single crystal growth equipment. To date, he has published 57 academic papers, 7 papers in Automatica and IEEE Transactions, and 4 ESI highly cited papers. His work has been cited 833 times in the Web of Science database. His research findings have been published in renowned control science journals such as Automatica, IEEE TSMC, IEEE TAES, and IEEE TCSII: Express Briefs. He has led 8 research projects, including the National Natural Science Foundation of China (NSFC) General Program, NSFC Youth Science Program, and so on. He has applied for 30 invention patents and contributed to the release of 2 national industry standards. Currently, he serves as a young editorial board member for the renowned EI-indexed journal Advances in Astronautics (English edition of Acta Astronautica) and the Chinese core journal Journal of Naval Aeronautics and Astronautics University. |
Xinyu Zhang, Xi'an University of Technology, China Xinyu Zhang, Ph.D. in Engineering, is an Associate Professor and Master’s Supervisor at the School of Automation and Information Engineering, Xi’an University of Technology. He is a member of the IEEE, the IEEE Instrumentation & Measurement Society, the Chinese Association of Automation (CAA), a senior member of the China Instrument and Control Society, and a member of the Chinese Institute of Electronics. He also serves as a committee member of the Fractional-order Systems and Control Technical Committee of CAA, the CAA Youth Working Committee, and the Youth Working Committee of the Shaanxi Association of Automation.His research primarily focuses on industrial parameter detection technology, estimation theory, adaptive filtering, and multi-objective optimization. He has led one project funded by the National Natural Science Foundation of China, one project under the Shaanxi Provincial Natural Science Foundation, and one Natural Science Special Research Program supported by the Shaanxi Provincial Department of Education. He has published over 30 papers in renowned academic journals and international conferences, including IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Circuits and Systems II: Express Briefs, IEEE Sensors Journal, Digital Signal Processing, Acta Automatica Sinica, Chinese Journal of Scientific Instrument, Control Theory and Applications, and Journal of Sensing Technology. Additionally, he holds 11 authorized invention patents and has filed three more. His notable honors include the First Prize of the CAA Technology Invention Award, the First Prize of the Scientific and Technological Innovation Award from the China Science and Technology Industrialization Promotion Association, and the Second Prize of the CAA Science and Technology Progress Award.Currently, he serves as a reviewer for multiple journals, including IEEE Transactions on Industrial Informatics, IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Digital Signal Processing, International Journal of Electronics, Control Theory and Applications, and Control and Decision. He is also an evaluation expert for the National Natural Science Foundation of China and a reviewer for the poster session of the CAA Doctoral Academic Exchange Conference.
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Please choose Special Session: Modeling, Control, and Detection of Intelligent Systems
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