Papers
2
Total Citations
7
H-Index
2
About
Fen Wu is a control theorist whose work bridges the gap between complex hybrid dynamics and real-world application. Her research focuses on the analysis and synthesis of advanced control systems, particularly those involving hybrid systems with state-triggered jumps and stochastic events, as well as fuzzy Markov jump systems. In her most cited work, she tackled the challenging problem of tracking control for hybrid systems, ensuring that system outputs precisely follow time-varying reference trajectories despite unpredictable jumps and random disturbances. Her 2017 paper on this topic has garnered 4 citations, while her foundational 2014 study on discrete-time fuzzy Markov jump systems, which introduced a novel approach to mode-dependent antecedent parts, has earned 3 citations. Though her citation counts are modest, her contributions are notable for their technical depth and potential impact on autonomous systems, robotics, and networked control. Wu’s work is particularly valuable for researchers seeking robust control strategies for systems that must operate reliably under uncertainty and abrupt changes.
Research Focus
Key Achievements
Top Papers
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