Papers
3
Total Citations
79
H-Index
2
About
Rui Weng is a leading researcher in advanced control theory, with a primary focus on the stability and control of complex stochastic jump systems. Their work addresses critical challenges in fuzzy semi-Markov and Markovian jump systems, which are essential for modeling systems subject to abrupt changes in dynamics. Weng’s most cited paper (63 citations) introduces a novel framework for analyzing stochastic stability in discrete-time Takagi–Sugeno fuzzy semi-Markov jump systems, tackling the difficult problem of unknown semi-Markov kernels and mode-dependent fuzzy rules. This contribution provides foundational tools for ensuring reliable performance in safety-critical applications. In a more recent breakthrough (2024, 14 citations), Weng developed a bumpless transfer model predictive control (MPC) strategy for hidden Markovian jump nonlinear systems with saturated inputs, addressing practical constraints often ignored in prior work. Beyond theoretical advances, Weng has also applied dynamic-model-based predictive control to a novel pendulum-driven spherical robot (2022), demonstrating the real-world utility of their methods in hazardous environment exploration. With a growing citation record, Rui Weng is establishing themselves as a key contributor to robust and practical control systems for uncertain and dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3