Papers
7
Total Citations
55
H-Index
3
About
Weihai Zhang is a leading researcher in nonlinear control theory, with a primary focus on stochastic systems, adaptive control, and robotic manipulator dynamics. His most influential work, "Universal adaptive control strategies for stochastic nonlinear time-delay systems with odd rational powers" (2020, 37 citations), addresses a notoriously difficult class of systems by developing universal control laws that handle both time delays and non-smooth nonlinearities—a significant theoretical breakthrough. Zhang has also pioneered fixed-time control methods, as demonstrated in his 2024 work on nonsingular fixed-time adaptive neural terminal sliding mode control, which ensures convergence within a bounded time independent of initial conditions. More recently, he has advanced optimal tracking control for interconnected robotic manipulators using reinforcement learning (2025), bridging classical control theory with modern AI techniques. His earlier foundational work on robust optimal control for robotic manipulators (2007) and fractional-order sliding mode control (2020) has established practical frameworks for handling uncertainties and friction in robotic systems. With a career spanning nearly two decades, Zhang’s research consistently combines rigorous mathematical analysis with real-world applicability, making him a respected figure in both theoretical control engineering and robotics communities.
Research Focus
Key Achievements
Top Papers
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- 4Robust optimal control for robotic manipulator2 citations · 2007
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- 6Robust Control for Robot with Friction Based on Linear State Equation2 citations · 2006
- 7Robust Tracking Control for a Kind of Robot Traces2 citations · 2007