Wanying Guo

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About

Wanying Guo is a rising researcher in the field of nonlinear dynamics and stochastic control systems, with a focus on synchronization and stabilization of complex coupled networks. Her work addresses critical challenges in systems governed by time-varying delays and random perturbations, particularly those involving Lévy noise—a type of non-Gaussian stochastic disturbance prevalent in real-world engineering and biological networks. Guo’s most cited paper, "Synchronization for the coupled stochastic strict-feedback nonlinear systems with delays under pinning control" (2022, 38 citations), introduces a novel pinning control strategy that ensures synchronization in strict-feedback systems despite coupling delays and stochastic disturbances. This contribution is significant for applications ranging from multi-agent robotics to neural networks. Her more recent work, "Stabilization of coupled nonlinear systems with Lévy noise and time-varying delays" (2025), extends these ideas to systems with more complex noise structures, offering new theoretical tools for robust control design. While early in her career, Guo’s research demonstrates a strong potential for impact in control theory, evidenced by the growing interest in her work. Her focus on practical, delay-prone, and noisy systems positions her as a promising voice in the next generation of nonlinear control researchers.