Faisal S. Alsubaei

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About

Dr. Faisal S. Alsubaei is a leading researcher in nonlinear control systems and mobile robotics, with a particular focus on the stabilization and trajectory tracking of nonholonomic systems. His work addresses fundamental challenges in the control of wheeled mobile robots (WMRs), which are increasingly vital in logistics and autonomous transportation. Dr. Alsubaei’s major contributions include the development of a generalized supertwisting algorithm based on terminal sliding manifold control, a novel approach for stabilizing perturbed unicycle mobile robots under matched uncertainties and time-varying perturbations. This work, which has already garnered 5 citations since its 2024 publication, demonstrates his ability to solve complex, real-world control problems by decomposing them into manageable sub-problems. Additionally, his 2025 study on neural adaptive correction for WMR trajectory tracking (3 citations) introduces an intelligent correction technique to overcome persistent accuracy challenges in autonomous navigation. By integrating robust sliding mode control with adaptive neural networks, Dr. Alsubaei is pushing the boundaries of resilient and precise robotic motion, making his research highly relevant for students and engineers working on next-generation autonomous systems.