Yu-Te Chang

Papers

Total Citations

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About

Yu-Te Chang is a robotics researcher whose work bridges the gap between theoretical control systems and practical mobile robot applications. His primary research areas include kinematical and dynamical control, robust tracking control, and Lyapunov stability theory for autonomous systems. Chang’s most cited work, "Combination of kinematical and robust dynamical controllers for mobile robotics tracking control: (II) suboptimal L₁ control" (2005, 7 citations), introduces an innovative approach that integrates kinematical and robust dynamical controllers for mobile robot navigation. In this study, he employs the Lyapunov stability theorem to design an almost exponentially stable kinematical controller, then extends the analysis to the dynamic model of the mobile robot. This dual-layer control strategy represents a significant contribution to the field, offering a suboptimal L₁ control solution that enhances tracking performance and robustness. While his citation count reflects a focused, specialized impact, Chang’s work provides a foundational framework for researchers developing reliable autonomous navigation systems. His methodology continues to influence studies on mobile robotics control, particularly in scenarios requiring both kinematic precision and dynamic robustness.