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About

Yanqian Wang is a rising scholar in the field of nonlinear control systems, with a focus on singular jump systems, fuzzy control, and networked security. Their research addresses critical challenges in modern cyber-physical systems, particularly the integration of asynchronous feedback mechanisms and event-triggered control to enhance performance under uncertain or malicious conditions. Wang’s most-cited work, an observer-based H∞ control strategy for delayed fuzzy implicit jump systems under hidden Markov models and event-triggered protocols (2023, 19 citations), introduces a robust framework for handling time delays and actuator constraints. This is complemented by their studies on dynamic parallel distributed compensation and dissipative control for nonlinear singular systems with actuator saturation (6 citations), as well as fuzzy exponential-approximation hybrid impulsive control under random actuator attacks (5 citations). Though early in their career, Wang’s contributions are notable for bridging theoretical rigor with practical resilience against cyber threats and system imperfections. Their work is increasingly referenced by researchers in control engineering and applied mathematics, signaling a promising trajectory in advancing secure, intelligent control for complex networked systems.