Adaptive spacecraft attitude control with incremental approximate dynamic programming

This paper presents an adaptive control technique to deal with spacecraft attitude tracking and disturbance rejection problems in the presence of model uncertainties. Approximate dynamic programming has been proposed to solve adaptive, optimal control problems without using accurate systems models. Within this category, linear approximate...

Nonlinear adaptive flight control using incremental approximate dynamic programming and output feedback

Nonlinear adaptive flight control using incremental approximate dynamic programming and output feedback

Self-tuning gains of a quadrotor using a simple model for policy gradient reinforcement learning

Autonomous Navigation in Partially Observable Environments Using Hierarchical Q-Learning

Flapping-wing MAVs represent an attractive alternative to conventional designs with rotary wings, since they promise a much higher efficiency in forward flight. However, further insight into the flapping-wing aerodynamics is still needed to get closer to the flight performance observed in natural fliers. Here we present the first step necessary...