We employ methods of robust control and optimal trajectory generation towards various autonomous-system engineering applications.
RESEARCH AREAS
Convex Optimization
We develop efficient robust numerical methods and software to solve convex optimization problems resulting from control applications.
Model Predictive Control
We use a model of the control system and solve relevant optimal control problems via real-time optimization algorithms.
Swarms
We develop optimal trajectory generation methods for distributed autnomous agents.
NEWS HIGHLIGHTS
Updating Apollo 11
March 23, 2020
UW Aero & Astro
Researchers show us what we gain by applying optimization algorithms to the iconic mission.
A&A CubeSat secures exclusive NASA spot
February 25, 2020
UW Aero & Astro
NASA picks A&A’s CubeSat for the CubeSat Launch Initiative, providing preparation services and a ride into space.
A&A leads $1.2M NSF grant to advance autonomy through Mars missions insights
November 25, 2019
UW Aero & Astro A research team spanning three universities led by A&A professor Behçet Açıkmeşe received a total of $1.2 million from the NSF.