Shaocheng Tong
Papers
10
Total Citations
751
H-Index
8
About
Shaocheng Tong is a prominent researcher specializing in intelligent control systems, with particular expertise in adaptive fuzzy and neural network control, robotic manipulators, and multi-robot coordination. Over more than a decade of prolific scholarship, Tong has made foundational contributions to the design of robust controllers capable of handling real-world complexities such as unknown nonlinear dynamics, actuator saturation, output constraints, and system faults. His most influential work focuses on integrating fuzzy logic systems and neural networks with backstepping and dynamic surface control techniques to achieve reliable performance in uncertain environments. His 2012 paper on adaptive fuzzy output feedback control for flexible robot manipulators has garnered 175 citations, reflecting its lasting influence, while his neural network controller design for robots with time-varying output constraints (173 citations) has become a key reference in constrained adaptive control. More recently, Tong has extended his expertise to multi-robot systems, addressing fault-tolerant formation control and cybersecurity challenges such as deception attacks in networked robotic platforms. Collectively, his body of work has accumulated hundreds of citations, establishing him as a significant voice in intelligent control theory and its practical application to advanced robotic systems. His research continues to shape both theoretical frameworks and engineering solutions in autonomous and cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Adaptive Fuzzy Backstepping Tracking Control for Flexible Robotic Manipulator107 citations · 2018
- 4
- 5
- 6
- 7
- 8
- 9
- 10