Papers
2
Total Citations
18
H-Index
1
About
Ben Niu is a prominent researcher specializing in intelligent control systems, adaptive control theory, and robotics. His work sits at the intersection of nonlinear systems, neural network-based control, and game-theoretic approaches, addressing some of the most challenging problems in modern control engineering. Niu's most influential contribution to date is his 2025 work on zero-sum game-based dynamic self-triggered sliding mode control for unknown nonlinear systems with asymmetric input constraints, which has already garnered 17 citations — a remarkable early impact indicative of its significance to the field. This research tackles the complex challenge of controlling unknown nonlinear systems under realistic input limitations, combining game theory with sliding mode methodologies in a novel framework. His 2024 investigation into predefined-time event-triggered adaptive neural control for flexible-joint robots further demonstrates his commitment to solving practical engineering challenges. By leveraging an improved predefined-time command filter, Niu addresses the notorious "explosion of complexity" problem while enhancing filter error compensation — advancing the reliability and precision of robotic control systems. Collectively, Niu's research portfolio reflects a rigorous and innovative approach to intelligent control design, making his work essential reading for students and researchers navigating adaptive control, robotics, and nonlinear systems theory.
Research Focus
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Top Papers
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