Zachary I. Bell

Orcid: 0000-0002-9574-8104

According to our database1, Zachary I. Bell authored at least 42 papers between 2016 and 2024.

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Bibliography

2024
Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning.
CoRR, 2024

An adaptive optimal control approach to monocular depth observability maximization.
CoRR, 2024

2023
Deep Neural Network-Based Approximate Optimal Tracking for Unknown Nonlinear Systems.
IEEE Trans. Autom. Control., May, 2023

Approximate Optimal Indirect Regulation of an Unknown Agent With a Lyapunov-Based Deep Neural Network.
IEEE Control. Syst. Lett., 2023

Lyapunov-Based Long Short-Term Memory (Lb-LSTM) Neural Network-Based Control.
IEEE Control. Syst. Lett., 2023

Target Tracking Subject to Intermittent Measurements Using Attention Deep Neural Networks.
IEEE Control. Syst. Lett., 2023

Defending a Target with a Slower Defender against a Faster Attacker.
CoRR, 2023

Deep Nonlinear Adaptive Control for Unmanned Aerial Systems Operating under Dynamic Uncertainties.
CoRR, 2023

Network Preference Dynamics using Lattice Theory.
CoRR, 2023

Policy Stitching: Learning Transferable Robot Policies.
Proceedings of the Conference on Robot Learning, 2023

State and Parameter Estimation for Affine Nonlinear Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Deep Adaptive Indirect Herding of Multiple Target Agents with Unknown Interaction Dynamics.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Weighted Prioritization of Constraints in Optimization-Based Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022
Lyapunov-Based Real-Time and Iterative Adjustment of Deep Neural Networks.
IEEE Control. Syst. Lett., 2022

Guarding a Non-Maneuverable Translating Line with an Attached Defender.
CoRR, 2022

Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning.
CoRR, 2022

A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Passivity-Based Target Tracking Robust to Intermittent Measurements.
Proceedings of the American Control Conference, 2022

2021
Simultaneous Estimation of Euclidean Distances to a Stationary Object's Features and the Euclidean Trajectory of a Monocular Camera.
IEEE Trans. Autom. Control., 2021

Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties.
Frontiers Robotics AI, 2021

Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems.
CoRR, 2021

Approximate optimal influence over an agent through an uncertain interaction dynamic.
Autom., 2021

Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties.
Proceedings of the 2021 American Control Conference, 2021

Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking.
Proceedings of the 2021 American Control Conference, 2021

2020
Data-based reinforcement learning approximate optimal control for an uncertain nonlinear system with control effectiveness faults.
Autom., 2020

Relay-Explorer Approach for Multi-Agent Exploration of an Unknown Environment with Intermittent Communication.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Target Tracking in the Presence of Intermittent Measurements by a Network of Mobile Cameras.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A Switched Systems Approach to Unknown Environment Exploration with Intermittent State Feedback for Nonholonomic Systems.
Proceedings of the 2020 American Control Conference, 2020

Target Tracking in the Presence of Intermittent Measurements by a Sparsely Distributed Network of Stationary Cameras.
Proceedings of the 2020 American Control Conference, 2020

2019
Single-Agent Indirect Herding of Multiple Targets With Uncertain Dynamics.
IEEE Trans. Robotics, 2019

A Switched Systems Approach to Path Following With Intermittent State Feedback.
IEEE Trans. Robotics, 2019

Structure and Velocity Estimation of a Moving Object via Synthetic Persistence by a Network of Stationary Cameras.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Single Agent Indirect Herding of Multiple Targets: A Switched Adaptive Control Approach.
IEEE Control. Syst. Lett., 2018

A Switched Systems Framework for Path Following With Intermittent State Feedback.
IEEE Control. Syst. Lett., 2018

Single Agent Indirect Herding via Approximate Dynamic Programming.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Data-Based Reinforcement Learning Approximate Optimal Control for an Uncertain Nonlinear System with Partial Loss of Control Effectiveness.
Proceedings of the 2018 Annual American Control Conference, 2018

Velocity and Path Reconstruction of a Moving Object Using a Moving Camera.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A switched systems approach to vision-based tracking control of wheeled mobile robots.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Single scene and path reconstruction with a monocular camera using integral concurrent learning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Adaptive control of a surface marine craft with parameter identification using integral concurrent learning.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016


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