Chongqing University of Posts and Telecommunications - China
AUTHOR PROFILE
SCOPUS
📚 EARLY ACADEMIC PURSUITS
Dr. Tang Xiaoming’s academic journey laid a strong foundation in control theory and automation. With a passion for predictive control and networked systems, he pursued advanced studies, gaining expertise in intelligent control mechanisms. His early research focused on developing efficient control strategies for complex industrial applications, paving the way for his contributions to automation and industrial Internet.
🏛️ PROFESSIONAL ENDEAVORS
As a professor at Chongqing University of Posts and Telecommunications, Dr. Tang has led multiple research projects, including those funded by the National Natural Science Foundation of China (NSFC). He has been instrumental in advancing predictive control theory, serving as a key figure in developing networked control strategies. His academic leadership extends beyond research, influencing the next generation of engineers.
🔬 CONTRIBUTIONS AND RESEARCH FOCUS
Dr. Tang’s research focuses on predictive control, networked control systems, and event-triggered control. His work has led to breakthroughs in tackling security threats such as stealthy DoS attacks and actuator faults in control systems. His studies on vehicle sideslip angle estimation and nonlinear networked systems provide innovative solutions for intelligent automation.
🏆 ACCOLADES AND RECOGNITION
With over 30 publications in leading SCI journals, Dr. Tang’s contributions are widely recognized in the scientific community. He serves as a reviewer for top-tier journals and a communication reviewer for NSFC. His work has earned him accolades in control engineering, making him a sought-after expert in predictive and networked control research.
🌍 IMPACT AND INFLUENCE
Dr. Tang’s research has significantly influenced modern control system design, particularly in industrial automation and cyber-physical security. His advancements in event-triggered filtering and H∞ control have contributed to more robust and intelligent networked systems. His work bridges the gap between theoretical innovations and real-world applications.
🚀 LEGACY AND FUTURE CONTRIBUTIONS
Looking ahead, Dr. Tang aims to further integrate AI-driven control methods into networked systems, enhancing their resilience against cyber threats. His continued efforts in predictive and intelligent control will shape the future of industrial automation, ensuring safer and more efficient technological advancements in the field.
NOTABLE PUBLICATION
Citrus fruit diameter estimation in the field using monocular camera
H. Qu, H. Du, X. Tang, S. Zhai
Biosystems Engineering, 2025
H2/H∞ Control of AETSCP-Based IT-2 Fuzzy Networked Control Systems Under Stealthy DoS Attacks and Actuator Faults
Y. Zhu, X. Tang, J. Wang, J. Yuan, M. She
International Journal of Robust and Nonlinear Control, 2025
Event-Triggered Filtering for Vehicle Sideslip Angle Estimation under Data Quantization and Hybrid Attacks using Quadratic Boundedness
Y. Cao, X. Tang, H. Qu, S. Zhai, J. Yuan
International Journal of Fuzzy Systems, 2025
H∞ control of uncertain T–S fuzzy networked control systems with actuator faults under stochastic packet loss-dependent event-triggered schemes
Y. Zhu, X. Tang, D. Kang, M. She, C. Tan
Journal of the Franklin Institute, 2024
Guaranteed Cost Output Feedback Control for Nonlinear Systems via Networks with Adaptive Event-Triggered SCP and Hybrid Attacks
X. Su, X. Tang, X. Lv, Y. Zhu
International Journal of Fuzzy Systems, 2024