Papers
3
Total Citations
22
H-Index
2
About
Chuang Gao focuses on advanced control systems for nonlinear dynamics, with particular emphasis on fault-tolerant and event-triggered technologies. His primary research areas include fuzzy observer-based control, command filtered tracking, and rehabilitation robotics. Gao’s most significant contribution is the development of a fuzzy observer-based command filtered tracking control framework for uncertain strict-feedback nonlinear systems with sensor faults and event-triggered mechanisms. This work, published in 2023, has garnered 16 citations and addresses critical challenges in trajectory tracking by integrating fault-tolerant control schemes that improve system robustness and reduce communication load. His earlier 2022 paper on the same topic further refined these methods, accumulating 4 citations for its detailed abstract on nth-order system control. Additionally, Gao has explored rehabilitation engineering, designing joint structures for upper limb exoskeleton robots to aid stroke patients. This 2017 work, with 2 citations, highlights his commitment to practical applications, aiming to lower costs and enhance efficiency in motor function recovery. Through these contributions, Gao demonstrates a blend of theoretical rigor and real-world impact, advancing both nonlinear control theory and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Design of joint structure for upper limb exoskeleton robot system2 citations · 2017