Kaibo Shi
Papers
15
Total Citations
256
H-Index
9
About
Kaibo Shi is a leading researcher in the control and security of complex cyber-physical systems, with a primary focus on sliding mode control, resilient control, and event-triggered strategies for systems operating under cyber-attacks. His work addresses critical challenges in modern networked systems, particularly the defense against deception and denial-of-service (DoS) attacks. Shi’s most influential contributions include developing observer-based sliding mode control for fuzzy stochastic switching systems under deception attacks (60 citations) and adaptive fuzzy resilient control for state-constrained switched systems (42 citations). He has pioneered sliding mode control techniques for semi-Markov jump cyber-physical systems subject to randomly occurring deception attacks (34 citations) and extended this to distributed consensus tracking in fuzzy multi-agent systems under hybrid cyber-attacks (22 citations). Beyond security, Shi has advanced event-triggered learning for robotic tracking control (20 citations) and optimal tracking for motion-constrained robots via event-sampled critic learning (11 citations). His recent work on adaptive self-triggered fault-tolerant control with funnel functions (8 citations) demonstrates his continued innovation in handling nonlinearities and actuator faults. With over 200 total citations across his top papers, Shi’s research is essential reading for anyone working on secure control, networked systems, and intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9SMC for phase-type stochastic nonlinear semi-Markov jump systems9 citations · 2022
- 10