Zhao Fan

Xi'an University of Architecture and Technology

Papers

Total Citations

H-Index

About

Zhao Fan is a leading researcher in the field of cyber-physical systems (CPS) security and advanced control theory, with a particular focus on resilient model predictive control (MPC) and attack-resilient system design. Their most cited work, "Adaptive Input Reconstruction Based Resilient MPC Against Deception Attacks" (2024, 32 citations), introduces a groundbreaking adaptive input reconstruction mechanism that enables continuous-time nonlinear CPS to maintain stability and performance even under sophisticated deception attacks. By integrating a self-triggered sampling mechanism with the reconstruction strategy, Fan’s approach significantly reduces communication overhead while ensuring robust system operation—a critical advancement for safety-critical infrastructures like power grids and autonomous networks. This work exemplifies Fan’s broader contributions to bridging theoretical control frameworks with practical cybersecurity challenges. With a growing citation impact, Fan’s research is widely recognized for its innovation in real-time attack mitigation and adaptive control, making them a rising authority in the intersection of control engineering and CPS security. Their achievements underscore a commitment to developing intelligent, resilient systems that can withstand modern adversarial threats.