Zhibo Sun

Papers

Total Citations

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About

Zhibo Sun is a researcher focused on advanced control systems, particularly in the domain of pneumatic muscle actuators and adaptive fuzzy control. His work addresses critical challenges in nonlinear system dynamics, including full-state constraints and external disturbances, which are essential for developing safe and efficient soft robotic systems. Sun's most-cited paper, "Adaptive fuzzy dynamic surface control for pneumatic muscle systems with full-state constraints and disturbances" (2025), introduces a novel control framework that integrates fuzzy logic with dynamic surface control to ensure robust performance under complex operating conditions. This contribution is pivotal for applications in rehabilitation robotics and assistive devices, where precise and compliant actuation is required. With a growing citation count, Sun's research is gaining recognition for its practical relevance and theoretical depth. His work not only advances the field of adaptive control but also provides a foundation for future innovations in bio-inspired and human-friendly robotic systems.