Jia Song - Intelligence theory and applications - Best Researcher Award
School of Astronautics, Beihang University - China
AUTHOR PROFILE
🎓 ACADEMIC BACKGROUND AND EXPERTISE
Jia Song earned her B.S. degree in Electrical Engineering and Automation, and Intelligent Systems from Harbin Engineering University in 2005, followed by a Ph.D. in Control Theory and Control Engineering from the same institution in 2009. Her profound expertise in these fields laid the foundation for her future endeavors in advanced control systems and intelligent decision-making.
🏛️ PROFESSOR AND DOCTORAL SUPERVISOR
Currently a Professor and doctoral supervisor at the School of Astronautics, Beihang University, Jia Song plays a crucial role in shaping the next generation of engineers and researchers. Her work focuses on advanced flight control systems and collaborative decision-making, where she mentors doctoral students, guiding them through complex research challenges.
🚀 RESEARCH IN ADVANCED FLIGHT CONTROL
Jia Song's research is centered on the development of advanced flight control systems, particularly in high-stakes scenarios involving high dynamic vehicles. Her studies address critical issues such as control precision and margin adequacy in environments with multiple constraints, such as no-fly zones and high-velocity interceptors, making significant strides in the field of aerospace engineering.
🎯 INNOVATIVE PENETRATION GAME STRATEGY
One of her notable contributions is the investigation of penetration game strategies for high dynamic vehicles. Her innovative approach involves an enhanced artificial potential field method that improves lateral penetration guidance strategies, effectively balancing obstacle avoidance and target reachability. This research not only advances theoretical understanding but also offers practical solutions for real-world applications.
🔧 APPLICATION OF ARTIFICIAL INTELLIGENCE AND PREDICTIVE MODELS
Jia Song integrates advanced artificial intelligence techniques, such as the Kalman filter and Transformer network, into her research. These tools are used to denoise detection information and predict multi-step state outcomes, significantly increasing the success rate of high dynamic vehicles in confronting high-velocity interceptors. Her work exemplifies the fusion of AI with traditional engineering to solve complex problems.
📊 NUMERICAL SIMULATIONS AND VALIDATION
Her research is rigorously validated through numerical simulations, which demonstrate the effectiveness and performance of the proposed penetration game guidance strategies. These simulations confirm the practicality and reliability of her methods, ensuring that they can be applied to real-world scenarios with confidence.
🏆 CONTRIBUTIONS TO AEROSPACE ENGINEERING
Jia Song’s contributions to aerospace engineering, particularly in the areas of flight control and collaborative decision-making, are highly regarded in the academic and professional communities. Her innovative research and commitment to excellence continue to push the boundaries of what is possible in the field of astronautics, making her a leading figure in her domain.
NOTABLE PUBLICATION
ADRC-Based Compound Control Strategy for Spacecraft Multi-Body Separation
Authors: Hu, Y., Wu, M., Zhao, K., Song, J., He, B.
Year: 2023
Journal: Aerospace Science and Technology
Survey on Mission Planning of Multiple Unmanned Aerial Vehicles
Authors: Song, J., Zhao, K., Liu, Y.
Year: 2023
Journal: Aerospace
Time-Cooperative Trajectory Optimization Method for Hypersonic Vehicle Based on Improved Grey Wolf Artificial Potential Field Method
Authors: Teng, B., Xu, X., Song, J.
Year: 2023
Conference: 2023 China Automation Congress (CAC 2023)
Fault Location and Separation Method of Distributed Inertial Measurement Units Based on IAC
Authors: Song, J., Shang, W., Wu, B., Ai, S.
Year: 2023
Conference: 2023 10th International Conference on Dependable Systems and Their Applications (DSA 2023)
Real-Time Trajectory Planning for Hypersonic Vehicle with Dynamic No-Fly Zone Constraints
Authors: Xiaowei, X., Jia, S., Kai, Z., Xindi, T., Yanxue, Z.
Year: 2023
Book Series: Lecture Notes in Electrical Engineering (LNEE)