Papers
9
Total Citations
51
H-Index
5
About
Yanzheng Zhu is a leading researcher in advanced control theory and its applications to robotic systems, with a particular focus on human–robot interaction, rehabilitation robotics, and cyber-physical security. His most significant contributions lie in developing prescribed-time and fixed-time fuzzy adaptive control strategies that overcome the limitations of traditional finite-time methods by eliminating dependence on initial conditions and controller parameters. Notably, his 2024 work on prescribed-time control for robotic manipulators with dead zone input has already garnered 9 citations, while his fixed-time self-triggered control for N-link manipulators and practical prescribed-time control for human–robot co-transportation with obstacle avoidance each have 8 citations. Zhu has also made pioneering advances in secure control for constrained human–robot cotransportation using self-triggered quantized strategies, and his comprehensive 2022 survey on rehabilitation robot modeling and control remains a key reference in the field. His research extends to resilient estimation for Markov jump systems, data-driven model predictive control for space robots, and security control for cyber-physical systems under denial-of-service attacks. With over 50 citations across his most-cited works, Zhu is establishing himself as an influential voice in the intersection of adaptive control, robotics, and system security.
Research Focus
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