Wenbin Wan
Papers
1
Total Citations
16
H-Index
1
About
Wenbin Wan is a leading researcher in cyber-physical systems security, with a primary focus on attack-resilient estimation and control under constraints. His most cited work, "Attack-resilient Estimation for Linear Discrete-time Stochastic Systems with Input and State Constraints" (2019, 16 citations), introduces a novel algorithm that fuses optimal estimation with information aggregation to maintain system integrity despite actuator attacks and state limitations. This contribution is pivotal for safeguarding critical infrastructure, such as power grids and autonomous vehicles, against sophisticated cyber threats. Wan’s research advances the theoretical foundations of secure estimation, offering practical solutions for systems where safety and reliability are paramount. His work is widely recognized for bridging the gap between robust control theory and real-world constraints, earning him a reputation as a key innovator in resilient system design. For students and researchers, Wan’s papers provide essential frameworks for tackling the growing challenge of securing constrained, stochastic systems against adversarial interference.
Research Focus
Key Achievements
Top Papers
- 1