Papers
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Total Citations
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About
Dr. Wanglong Li is a pioneering researcher in intelligent control systems and mobile robotics, with a focus on optimizing nonlinear control strategies for autonomous platforms. His most cited work introduces a novel Hybrid Enhanced Particle Swarm Optimization (HEPSO) algorithm, which integrates adaptive inertia weights, unified factor enhancement, and global optimal particle training to significantly improve sliding mode controller performance for wheeled mobile robots. This contribution addresses critical challenges in trajectory tracking and disturbance rejection, offering a robust framework for real-time autonomous navigation. With over 1 citations on his recent 2025 paper, Dr. Li’s research is gaining traction for its practical impact on robotics and control engineering. His work exemplifies the fusion of computational intelligence and classical control theory, providing scalable solutions for next-generation autonomous systems. Dr. Li’s achievements position him as an emerging leader in the field, with potential applications spanning industrial automation, service robotics, and intelligent transportation.
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Top Papers
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