Extremum-seeking adaptive controllers for energy efficient unmanned aerial vehicles

This paper presents an innovative approach to optimize drone performance by using extremum-seeking adaptive controllers. By utilizing the dynamic capabilities of these controllers, we present a new method to improve the real-time flight efficiency of drones. The essence of our technique is the application of an advanced extremum seeking algorithm designed to dynamically adjust the drone speed to maximize flight time under changing conditions.