Juan J. Raygoza

Papers

Total Citations

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About

Juan J. Raygoza is a researcher specializing in the modeling and control of under-actuated robotic systems, with a particular focus on discrete-time approaches. His most cited work, "Discrete-Time Modeling and Control of an Under-actuated Robotic System" (2010, 8 citations), introduces a novel discrete-time model for the Pendubot—a classic under-actuated robot—using the symplectic Euler method. This contribution is significant because it addresses the challenges of accurately representing the dynamics of systems with fewer actuators than degrees of freedom, a common issue in advanced robotics. Raygoza further enhances this framework by designing a discrete-time sliding mode controller and observer, demonstrating robust performance through simulation studies. His work bridges theoretical rigor and practical application, offering tools for stabilizing and controlling complex robotic systems. While his citation count reflects a focused impact, his research is valuable for students and engineers exploring nonlinear control, discrete-time systems, and under-actuated robotics. Raygoza’s contributions underscore the importance of precise modeling in achieving reliable control, making his work a useful reference for those tackling similar challenges in robotic design and automation.