Hongjiu Yang
Papers
21
Total Citations
596
H-Index
13
About
Hongjiu Yang is a leading figure in the control and robotics community, whose work has fundamentally advanced the autonomous navigation of wheeled mobile robots (WMRs) under challenging real-world conditions. His research centers on nonlinear control theory, robust trajectory tracking, and formation control, with a particular focus on overcoming the constraints of nonholonomic systems and uneven terrain. Yang’s most impactful contribution is a novel control scheme integrating extended state observers to estimate unknown disturbances and velocity information, enabling precise tracking and obstacle avoidance for WMRs—a work cited over 145 times. He has also pioneered fixed-time formation control with prescribed performance, ensuring rapid, reliable leader-follower coordination even under communication failures. With over 500 total citations, his recent work addresses cutting-edge threats like stochastic denial-of-service attacks and employs hybrid dynamic event-triggered mechanisms to maintain security and performance. Yang’s research is not only theoretically rigorous but also highly practical, providing robust solutions for robots operating on rough ground and under network constraints. His achievements include developing switched model predictive control with adaptive dwell time, significantly reducing computational complexity for real-time applications. For any student or researcher in robotics and control, Yang’s work represents a masterclass in bridging advanced theory with tangible, resilient robotic systems.
Research Focus
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