Papers
6
Total Citations
131
H-Index
3
About
Bo Cai is a leading researcher in the control and estimation of complex stochastic systems, with a primary focus on fuzzy semi-Markov jump systems and their real-world applications. His major contributions include pioneering work on stability analysis and stabilization for discrete-time Takagi–Sugeno fuzzy semi-Markov jump systems, particularly under unknown or indirectly accessible mode information—a critical challenge in modern control theory. His 2021 paper on stability under unknown semi-Markov kernels has garnered 63 citations, while his 2019 work on H∞ state estimation with nonideal data transmission has been cited 48 times, underscoring their foundational impact. Cai has also advanced model predictive control for hidden Markovian jump nonlinear systems with saturated inputs, and extended his theoretical insights to practical robotics, including a dynamic-model-based predictive controller for a novel pendulum-driven spherical robot and vision-based tracking for Mecanum wheeled mobile robots. His work on switched linear systems with persistent sojourn-time expectation further demonstrates his versatility. With a growing citation record and a portfolio bridging rigorous theory and tangible engineering, Bo Cai is shaping the future of intelligent, resilient control systems.
Research Focus
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