5 papers
Lyapunov-Based Physics-Informed Deep Neural Networks with Skew Symmetry Considerations
Rebecca G. Hart, Wanjiku A. Makumi, Rushikesh Kamalapurkar +1
Deep neural networks (DNNs) are powerful black-box function approximators which have been shown to yield improved performance compared to traditional neural network (NN) architectu…
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…
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…
A Switched Systems Approach to Image-Based Feature Tracking for Autonomous Satellite Inspection
Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell +3
This paper presents an information-based guidance and control architecture for an autonomous deputy spacecraft tasked with inspecting a chief satellite in orbit. The primary object…