Xiangpeng Xie
Papers
11
Total Citations
333
H-Index
8
About
Xiangpeng Xie is a leading researcher in the control of complex nonlinear systems, with key contributions in event-triggered control, sliding-mode control, and fault-tolerant systems. His work focuses on developing resilient strategies for networked systems under cyberattacks, including denial-of-service and false data injection attacks. Xie’s most cited paper, "Memory-Based Continuous Event-Triggered Control for Networked T–S Fuzzy Systems Against Cyberattacks" (2020, 132 citations), introduces a novel memory-based event-triggering mechanism that enhances system security by leveraging past information. Another highly influential work, "Dynamic-Memory Event-Triggered Sliding-Mode Secure Control for Nonlinear Semi-Markov Jump Systems With Stochastic Cyber Attacks" (2024, 79 citations), addresses secure control for semi-Markov jump systems under stochastic attacks. Xie has also advanced adaptive tracking for switched nonlinear systems and fault estimation for robotic arms, with applications to multi-agent systems and flexible-joint robots. His research has garnered over 300 citations, reflecting its impact on cybersecurity and control theory. Notable achievements include developing fully distributed hierarchical control for multi-agent systems and integrating reinforcement learning for optimal tracking. Xie’s work is essential for students and researchers interested in robust, secure control of modern cyber-physical systems.
Research Focus
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