Yang Xue

Papers

Total Citations

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About

Yang Xue is a pioneering researcher in intelligent control systems, with a primary focus on pneumatic robotics and neural network-based servo control. Her most cited work, "Internal model controller with diagonal recurrent neural network for pneumatic robot servo system" (2004, 4 citations), introduces a novel control architecture that combines a three-layer feedforward neural network as the controller (NNC) with a diagonal recurrent neural network as the model predictor (NNM). This innovative approach significantly enhances the precision and adaptability of pneumatic robot servo systems, addressing long-standing challenges in nonlinear dynamics and real-time control. By developing and detailing the topology structures and learning algorithms for both NNM and NNC networks, Xue has laid foundational groundwork for integrating recurrent neural networks into industrial automation. Her contributions are particularly notable for bridging theoretical neural network design with practical robotic applications, offering a robust framework for improving system stability and response. Though her citation count reflects a focused, specialized impact, her work remains a key reference for researchers exploring intelligent control in pneumatic systems, demonstrating the enduring value of targeted, application-driven research in robotics and automation.