Yueneng Yang
Papers
9
Total Citations
311
H-Index
6
About
Yueneng Yang is a prominent researcher specializing in autonomous control systems, robotics, and aerial vehicle navigation, with a particular focus on robotic airships and unmanned aerial systems. His most significant contributions lie in developing advanced sliding mode control (SMC) frameworks for trajectory tracking of robotic airships — a challenging problem due to their complex nonlinear dynamics, model uncertainties, and environmental disturbances. Yang's most cited work, a 2016 paper with 119 citations, introduced neural network approximation-based nonsingular terminal sliding mode control, representing a landmark advance in achieving robust, finite-time trajectory convergence for airships. This was complemented by earlier foundational contributions integrating adaptive fuzzy logic, gain-scheduling, and backstepping methods into airship control architectures. Together, these papers have accumulated over 280 citations, establishing Yang as a leading voice in lighter-than-air autonomous vehicle research. Beyond airships, Yang has broadened his scope to include adaptive dynamic programming for mobile robots, UAV-based explosive ordnance disposal systems, and bio-inspired robotic capture mechanisms. His recent work on a net-casting spider-inspired gripper system highlights a creative, nature-driven approach to aerial manipulation. Yang's career reflects a consistent commitment to bridging theoretical control design with practical robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9