Qiguang Jiang

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About

Qiguang Jiang is a leading researcher in stochastic dynamical systems, specializing in the stability and synchronization of complex networks under uncertainty. Their work focuses on the theoretical analysis of systems influenced by Lévy noise—a type of non-Gaussian random disturbance—and mixed time delays, which are critical for modeling real-world phenomena in engineering and biology. Jiang’s major contributions include pioneering the integration of Lévy noise into coupled systems with mixed delays, a first in the field, as demonstrated in their highly cited 2020 paper (22 citations). This work, combining Razumikhin and Lyapunov methods with graph theory, established new stability criteria for such systems. In 2021, Jiang advanced synchronization analysis for stochastic Lévy noise systems on time-varying multi-weight networks using delay intermittent control (17 citations), offering practical tools for network regulation. With over 39 citations across their top papers, Jiang’s research has significantly impacted the understanding of complex stochastic networks, providing foundational insights for applications in secure communications and neural networks. Their innovative use of intermittent control strategies marks a notable achievement, bridging theoretical rigor with real-world applicability.