1 citations · 1 across the 8 of their papers we have counts for
11 papers
Safe Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems
Tochukwu E. Ogri, Muzaffar Qureshi, Zachary I. Bell +2
In this paper, we develop a safe control synthesis method that integrates state estimation and parameter estimation within an adaptive optimal control (AOC) and control barrier fun…
System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach
Rebecca G. Hart, Omkar Sudhir Patil, Zachary I. Bell +1
Deep Neural Networks (DNNs) are increasingly used in control applications due to their powerful function approximation capabilities. However, many existing formulations focus prima…
Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension
Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos +3
This paper presents a switched systems approach for extending the dwell-time of an autonomous agent during GPS-denied operation by leveraging memory regressor extension (MRE) techn…
A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression
Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell +2
Gaussian Processes (GPs) are widely recognized as powerful non-parametric models for regression and classification. Traditional GP frameworks predominantly operate under the assump…
Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems
Brandon C. Fallin, Cristian F. Nino, Omkar Sudhir Patil +2
Graph neural networks (GNNs) have a message-passing framework in which vector messages are exchanged between graph nodes and updated using feedforward layers. The inclusion of dist…
Gaussian Process-Based Scalar Field Estimation in GPS-Denied Environments
Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos +2
This paper presents a methodology for an autonomous agent to map an unknown scalar field in GPS-denied regions. To reduce localization errors, the agent alternates between GPS-enab…