On April 17, the Computational Intelligence and Intelligent Control Symposium (online) was successfully held. The Symposium aimed at improving interdisciplinary studies and R&D exchanges among scholars working in various academic areas. The school of Artificial Intelligence and Automation of HUST organized the Symposium, with AIA Dean ZENG Zhigang being the Symposium Chair, and Vice Dean ZHANG Haitao being the Executive Chair. Professor Zhang Haitao presided over the meeting.
The symposium invited five renowned scholars including the Academia Europaea academician Prof. Guanrong (Ron) Chen, covering various disciplines embracing artificial intelligence, control science, big data, and complex networks. The panel of scholars discussed in depth the frontier scientific problems and technical challenges of computational intelligence and intelligent control from different perspectives. They also shared the latest research findings and offered valuable opinions on the future development of the field. The online meeting drew a large number of experts, AIA teachers, and students. The participants conversed enthusiastically and thoroughly with each other during the discussion sessions, creating a strong academic atmosphere.
The conference started with a welcome speech by Prof. ZENG Zhigang, who pointed out that major breakthroughs had been made in AI research after more than 60 years of development. He said that the research of emerging control disciplines such as complex systems, intelligent control, and computational intelligence was not only the continuation of traditional control science but also the focus of frontier research. This symposium acknowledged the importance of emerging disciplines and provided a rare opportunity and a platform for teachers, students, and scholars to learn and communicate.
Guanrong (Ron) Chen, professor of City University of Hong Kong and academician of Academia Europaea, delivered a presentation on "Pinning Control and Robustness of Complex Networks". Professor Chen first talked about pining control in multi-agent systems and then focused on the structural controllability of systems under distributed conditions. Prof. Chen also presented his innovative research on the robustness of complex networks. He used machine learning to map the network topology into images and analyzed its structural robustness with convolutional neural networks, achieving excellent results.
Professor ZHANG Huanshui from Shandong University gave a presentation on "Advances and Applications of Linear Optimal Control - Decentralized Control". Professor Zhang first introduced the basic model and history of LQ control, then he pointed out the importance of feedback stability in LQ control, and elaborated on its applications in intelligent network control, decentralized control, and game control.
Professor En-Hong Chen from University of Science and Technology of China made a presentation on "Smart Education Driven by Big Data". His presentation demonstrated the application and prospect of the latest big data technology in smart education. The pre was very original and inspiring. Prof. Chen shared his insights in smart education applications including intelligent tutoring systems, intelligent education applications, data-driven test paper composition, marking, analysis, and student tutoring. The pre showed how big data technologies including knowledge graphs, reinforcement learning, and natural language processing can be used in specific application scenarios, which demonstrated the great potential of big data in the education industry.
Prof. Pei Hailong from South China University of Technology gave a presentation on "UAV Coastal Zone Flight Sensing". In the pre, Prof. Pei shared the latest progress of his team's research on the behavior of unmanned systems and his team's work on the mechanism modeling, fleet control, flight control, and wing configuration of Ducted Fan UAVs.
Professor LIU Yanjun from Liaoning University of Technology gave a presentation on "Design of Time-Varying Integral Barrier Functions for a Class of Nonlinear Constrained Systems", pointing out that output constraints are of great importance in practical applications, and that constrained control systems not only saved resources but also had outstanding advantages in resisting system nonlinearities, compensating and even suppressing uncertainties and disturbances. Prof. Liu also examined the unsolved problems of time-varying integral functions and envisioned their future applications in multi-agent systems, stochastic systems, and switching systems.
At the end of the session, Prof. ZHANG Haitao delivered closing remarks and expressed his heartfelt gratitude to all the experts and scholars who attended the symposium.
During the symposium, theories, applications, models, and data regarding computational intelligence and intelligent control were brought about and thoroughly discussed. The scholars brainstormed on various problems and the discussions were genuinely inspiring.
The Symposium focused on the frontier research and applications of computational intelligence and intelligent control, and served as a bridge of academic exchanges for scholars in the domain. It also allowed teachers and students of the school of Artificial Intelligence and Automation to learn and progress together, and was an event where thoughts were communicated, wisdom shared, and cooperations planned. The Symposium was indeed a great platform to boost development in the AI R&D and AI industry.