Yu Yali

Papers

Total Citations

H-Index

About

Yu Yali is a robotics and control systems researcher whose work has made notable contributions to the field of unmanned aerial vehicles (UAVs), with a particular focus on quadrotor aerial robots. Her research addresses one of the most technically demanding challenges in autonomous flight: designing effective controllers for systems that are inherently nonlinear, multivariable, strongly coupled, and under-actuated. Her most cited work, "Controller Design of Quadrotor Aerial Robot" (2012, 23 citations), tackled the formidable task of deriving a comprehensive nonlinear dynamic model for vertical take-off and landing (VTOL) UAVs and developing robust control strategies to manage their complex behavior. Complementing this, her earlier paper "Backstepping Control of Each Channel for a Quadrotor Aerial Robot" (2010, 16 citations) introduced a channel-specific backstepping control framework, demonstrating practical solutions for stabilizing these agile platforms in both indoor environments and low-wind outdoor conditions. Together, these works reflect Yu Yali's sustained commitment to advancing autonomous flight control theory and practice. Her research provides foundational tools for engineers and students working on UAV systems, contributing meaningfully to a rapidly growing field with broad applications in surveillance, delivery, and exploration technologies.