Shouzhuan Chen

Suzhou University of Science and Technology

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About

Shouzhuan Chen is a rising researcher in the field of networked control systems and robotics, with a primary focus on advanced event-triggered control mechanisms. Chen’s most notable contribution is the development of an observer-based dual-dynamic event-triggered scheme, designed to enhance the balance control of motion robots. This work, published in 2024, addresses critical challenges in networked control by establishing a mathematical model of motion robots based on Newtonian mechanics and introducing a dynamic triggering strategy that optimizes communication efficiency while maintaining system stability. Although early in its citation impact, this research represents a significant step toward more intelligent and resource-efficient robotic systems. Chen’s work is particularly relevant for applications requiring real-time decision-making under limited communication bandwidth, such as autonomous mobile robots and industrial automation. By bridging theoretical control design with practical robotic implementation, Chen is contributing to the next generation of resilient, adaptive networked systems. As the field increasingly demands energy-aware and computationally efficient solutions, Chen’s innovations in dual-dynamic event-triggered control are poised to influence both academic research and real-world robotic applications.