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Found 8 papers, 0 papers with code
Experimental Flight Testing of an Adaptive Autopilot with Parameter Drift Mitigation
This paper modifies an adaptive multicopter autopilot to mitigate instabilities caused by adaptive parameter drift and presents simulation and experimental results to validate the modified autopilot.
A Tutorial on Neural Networks and Gradient-free Training
Specifically, we develop neural networks as a composition of several vector-valued functions.
Experimental Flight Testing of a Fault-Tolerant Adaptive Autopilot for Fixed-Wing Aircraft
Next, the performance of the adaptive autopilot is examined under failure conditions by simulating a scenario where one of the control surfaces is assumed to be stuck at an unknown angle.
On the Accuracy of the One-step UKF and the Two-step UKF
The most accurate version of the unscented Kalman filter (UKF) involves the construction of two ensembles.
Retrospective Cost Parameter Estimation with Application to Space Weather Modeling
This technique, called retrospective cost parameter estimation (RCPE), is motivated by large-scale complex estimation models characterized by high-dimensional nonlinear dynamics, nonlinear parameterizations, and representational models.
An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults
This paper develops an adaptive digital autopilot for a fixed-wing aircraft and compares its performance with a fixed-gain autopilot.
An Adaptive PID Autotuner for Multicopters with Experimental Results
This paper develops an adaptive PID autotuner for multicopters, and presents simulation and experimental results.
Two Modifications of the Unscented Kalman Filter that Specialize to the Kalman Filter for Linear Systems
The ultimate goal is thus to develop modifications of UKF that specialize to the Kalman filter for linear systems and have improved accuracy for nonlinear systems.
