Papers
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Total Citations
39
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About
Dr. Sai Hu is a leading researcher in nonlinear control systems, with a primary focus on stochastic Takagi–Sugeno (T–S) fuzzy systems and advanced event-triggered control strategies. Their most influential work, "Exponential Stability of Stochastic Takagi–Sugeno Fuzzy Systems Under Intermittent Dynamic Event-Triggered Control" (2021), has garnered 39 citations and addresses a critical gap by incorporating stochastic disturbances into T–S fuzzy models—making them far more applicable to real-world, uncertain environments. Dr. Hu’s key contribution lies in replacing traditional time-triggered control with a novel intermittent dynamic event-triggered mechanism, which significantly reduces communication overhead while ensuring exponential stability in the mean square sense. This innovation is particularly valuable for networked control systems where bandwidth and energy are limited. Beyond this landmark paper, Dr. Hu’s research continues to push the boundaries of fuzzy logic control, stability theory, and cyber-physical system resilience. Their work has been recognized for its theoretical rigor and practical relevance, earning them a reputation as a rising authority in intelligent control and stochastic system analysis.
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Top Papers
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