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20242026
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8 papers · 1 filter

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY2025

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…

eess.SY20241 cited

Scalar Field Mapping with Adaptive High-Intensity Region Avoidance

Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell +1

This research is motivated by a scenario where a group of UAVs is assigned to map an unknown scalar field, with the imperative of maintaining a safe distance from the sources of th…