Jinliang Liu
Papers
2
Total Citations
89
H-Index
2
About
Dr. Jinliang Liu is a leading figure in the control systems field, whose research focuses on the secure and intelligent control of complex nonlinear networked systems. His work is pivotal in addressing the vulnerabilities of modern cyber-physical systems, particularly against stochastic cyber attacks. Dr. Liu’s major contributions include pioneering the use of dynamic-memory event-triggered mechanisms combined with sliding-mode control to fortify nonlinear semi-Markov jump systems against threats like denial-of-service and false data injection attacks—a breakthrough that has garnered 79 citations. He has also advanced the frontier of optimal tracking control for unknown nonlinear systems by integrating fuzzy-boosted event-triggered strategies with a particle swarm optimization-driven reinforcement learning approach, achieving 10 citations for this innovative work. By leveraging Takagi-Sugeno fuzzy models and generalized fuzzy hyperbolic models, Dr. Liu provides robust solutions where system dynamics are unavailable or network bandwidth is limited. His research not only enhances theoretical understanding but also offers practical frameworks for resilient, real-time control in safety-critical applications, marking him as a key innovator in secure networked control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2