This paper proposes an invariant ellipsoid-based method for the controller design and gain synthesis of a low-cost quadrotor autonomous ship deck landing system subjected to wind disturbance and measurement noise. This method optimizes the quadrotor performance, hence achieving soft landing. A complete control architecture for the quadrotor is also presented. Simulations are performed using a realistic ship deck model in the presence of measurement noise and wind disturbance with a quadrotor. has been with the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore, where he is currently an associate professor. His research interest includes multiagent systems, vision-based control systems, robust and reliable control, path planning and trajectory generation, and flight control systems. Yew Chai Paw received the B.Eng. and M.Eng. degrees in mechanical and aerospace engineering from Nanyang Technology University, Singapore, in 2000 and 2005, respectively. He received the Ph.D. degree in aerospace engineering in 2009 from University of Minnesota, MN. He is currently a principal member of technical staff in DSO National Laboratories, Singapore. His research interests include UAV system engineering and flight dynamics modeling. Fang Liao received her B.E. and M.E. degrees in control and navigation, both from