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20202024
most citedRecursive Least Squares with Variable-Direction Forgetting -- Compensating for the loss of persistency

81 citations · 101 across the 13 of their papers we have counts for

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10 papers · 1 filter

eess.SY2023★ 1 cited

Experimental Flight Testing of an Adaptive Autopilot with Parameter Drift Mitigation

Yin Yong Chee, Parham Oveissi, Siyuan Shao +4

This paper modifies an adaptive multicopter autopilot to mitigate instabilities caused by adaptive parameter drift and presents simulation and experimental results to validate the…

eess.SY2022

A Tutorial on Neural Networks and Gradient-free Training

Turibius Rozario, Arjun Trivedi, Ankit Goel

This paper presents a compact, matrix-based representation of neural networks in a self-contained tutorial fashion. Specifically, we develop neural networks as a composition of sev…

eess.SY2022

Experimental Flight Testing of a Fault-Tolerant Adaptive Autopilot for Fixed-Wing Aircraft

Joonghyun Lee, John Spencer, Siyuan Shao +3

This paper presents an adaptive autopilot for fixed-wing aircraft and compares its performance with a fixed-gain autopilot. The adaptive autopilot is constructed by augmenting the…

eess.SY2022

On the Accuracy of the One-step UKF and the Two-step UKF

Ankit Goel, Dennis S. Bernstein

The most accurate version of the unscented Kalman filter (UKF) involves the construction of two ensembles. To reduce computational cost, however, UKF is often implemented without t…

eess.SY2022

Retrospective Cost Parameter Estimation with Application to Space Weather Modeling

Ankit Goel, Dennis S. Bernstein

This chapter reviews standard parameter-estimation techniques and presents a novel gradient-, ensemble-, adjoint-free data-driven parameter estimation technique in the DDDAS framew…

eess.SY2021★ 2 cited

An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults

Joonghyun Lee, John Spencer, Juan Augusto Paredes +3

This paper develops an adaptive digital autopilot for a fixed-wing aircraft and compares its performance with a fixed-gain autopilot. The adaptive digital autopilot is constructed…

eess.SY2021

An Adaptive PID Autotuner for Multicopters with Experimental Results

John Spencer, Joonghyun Lee, Juan Augusto Paredes +2

This paper develops an adaptive PID autotuner for multicopters, and presents simulation and experimental results. The autotuner consists of adaptive digital control laws based on r…

eess.SY2021

Two Modifications of the Unscented Kalman Filter that Specialize to the Kalman Filter for Linear Systems

Ankit Goel, Dennis S. Bernstein

Although the unscented Kalman filter (UKF) is applicable to nonlinear systems, it turns out that, for linear systems, UKF does not specialize to the classical Kalman filter. This s…

eess.SY2020

Experimental Implementation of an Adaptive Digital Autopilot

Ankit Goel, Juan Augusto Paredes, Harshil Dadhaniya +4

This paper develops an adaptive digital autopilot for quadcopters and presents experimental results. The adaptive digital autopilot is constructed by augmenting the PX4 autopilot c…

eess.SY2020★ 15 cited

Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics

Ankit Goel, Abdulazeez Mohammed Salim, Ahmad Ansari +2

This paper develops an adaptive autopilot for quadcopters with unknown dynamics. To do this, the PX4 autopilot architecture is modified so that the feedback and feedforward control…