Liu Guang

Papers

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About

Liu Guang’s research centers on intelligent control systems and embedded communication technologies, with a particular focus on adaptive PID control for robotic applications. His 2011 paper on adaptive PID control in spray robots, which has garnered 11 citations, systematically classifies adaptive control principles and analyzes their implementation in trajectory optimization—notably demonstrating how fuzzy adaptive PID controllers can enhance precision in automated spraying tasks. This work provides a foundational framework for integrating adaptive algorithms into industrial robotics. Additionally, his 2012 study on CAN bus communication systems using the TMS320F2407 DSP, with 5 citations, addresses critical challenges in real-time data exchange for embedded control networks. By bridging control theory with practical hardware design, Liu’s contributions offer valuable insights for researchers developing cost-effective, high-performance automation solutions. His work remains a reference point for those exploring adaptive control in manufacturing environments, particularly where trajectory accuracy and system robustness are paramount.