Ruiyuan Wang

Wuhan University, Northeast Electric Power University

Papers

Total Citations

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About

Ruiyuan Wang is a researcher whose work bridges the frontiers of soft robotics and advanced control theory. In the emerging field of soft robotics, Wang pioneered a novel "driving-sensing integrated" approach for magnetic soft robots using laser thermal printing, a contribution that has already garnered 8 citations since its 2024 publication. This work enables simultaneous actuation and sensory feedback in soft robotic systems, addressing a critical challenge in the field. Complementing this, Wang has made significant theoretical contributions to control systems engineering, particularly in the partial eigenstructure assignment (PESA) for descriptor high-order linear time-invariant systems. Their 2023 paper, with 5 citations, introduced a parametric method using proportional plus derivative state feedback that allows engineers to selectively reassign only a portion of a system's eigenvalues while preserving the rest—a powerful tool for complex system design. This dual expertise in both applied soft robotics and rigorous control theory positions Wang as a versatile researcher capable of advancing both the practical implementation and theoretical foundations of next-generation robotic and control systems.