Fengbo Yang

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About

Fengbo Yang is a rising researcher in nonlinear control systems, with a focus on adaptive and robust control for uncertain nonlinear dynamics and robotic manipulators. His work bridges critical gaps in output feedback control, where only position measurements are available, by developing innovative strategies that ensure stability and performance despite unknown disturbances and system uncertainties. Yang’s most cited paper, “Output feedback adaptive RISE control for uncertain nonlinear systems” (2022, 25 citations), pioneers the extension of robust integral of the sign of the error (RISE) feedback to output feedback conditions, introducing a continuously bounded control input that synergizes adaptive control with integral robust techniques—a significant advancement for real-world applications. In his 2023 work, “Multilayer Neuroadaptive Output Feedback Control of Constrained Robotic Manipulators With Disturbance Compensation” (4 citations), Yang addresses motion control for robotic manipulators under unknown dynamics and external disturbances, leveraging extended state observers to estimate immeasurable states solely from position data. These contributions demonstrate Yang’s impact in advancing output feedback control theory, with applications in robotics and automation, marking him as a promising scholar in modern control engineering.