Papers
1
Total Citations
6
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1
About
Dr. Haoran Zhan is making significant strides in the field of robotics and intelligent control systems, with a primary focus on optimal trajectory tracking and adaptive control for mobile platforms. His most notable contribution to date is the development of an adaptive dynamic programming (ADP)-based fixed-time optimal control strategy for wheeled mobile robots. In this pioneering 2024 study, Dr. Zhan introduced a critic-only neural network ADP technique that guarantees fixed-time convergence, enabling robots to achieve precise trajectory tracking within a predetermined timeframe—a critical advancement for time-sensitive autonomous operations. This work, which has already garnered 6 citations shortly after publication, demonstrates his ability to bridge theoretical control theory with practical robotic applications. By addressing the challenge of optimal control under strict temporal constraints, Dr. Zhan's research holds promise for enhancing the reliability and efficiency of autonomous systems in logistics, manufacturing, and field robotics. His contributions are particularly valuable for students and researchers exploring the intersection of reinforcement learning, nonlinear control, and real-time robotic performance.
Research Focus
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Top Papers
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