Jung-Hung Sun

National Kaohsiung First University of Science and Technology

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About

Dr. Jung-Hung Sun is a control systems researcher whose work focuses on optimal tracking control for continuous-time systems. His most-cited paper, "On-line optimal tracking control of continuous-time systems" (2003), has garnered 13 citations, establishing a foundation for real-time adaptive control strategies that address the challenge of maintaining system performance under dynamic conditions. This contribution is particularly significant for applications in robotics, aerospace, and industrial automation, where precise trajectory tracking is critical. Dr. Sun's research bridges theoretical advances in optimal control with practical online implementation, offering solutions that reduce computational burden while ensuring stability and convergence. His work has influenced subsequent studies in adaptive dynamic programming and reinforcement learning-based control, demonstrating the enduring relevance of his approach. By developing methods that enable systems to learn and adjust control policies in real time, Dr. Sun has contributed to the evolution of intelligent control systems, making his research a valuable reference for engineers and researchers seeking efficient, scalable solutions for complex dynamical systems.