Ben Haydon

College of Engineering

Works (4)

Updated: March 13th, 2024 05:01

2024 article

Persistent Mission Planning of an Energy-Harvesting Autonomous Underwater Vehicle for Gulf Stream Characterization

Haydon, B., Reed, J., & Vermillion, C. (2023, November 16). IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY.

By: B. Haydon n, J. Reed n & C. Vermillion *

author keywords: Oceans; Planning; Predictive models; Data models; Sea measurements; Control systems; Temperature measurement; Algorithms; automatic control; control systems; Gaussian processes (GPs); mobile robots; predictive control; renewable energy sources
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: December 18, 2023

2023 article

Predictive Velocity Trajectory Control for a Persistently Operating Solar-Powered Autonomous Surface Vessel

2023 AMERICAN CONTROL CONFERENCE, ACC, pp. 2077–2083.

By: K. Govindarajan n, B. Haydon n & C. Vermillion n

UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Source: Web Of Science
Added: March 11, 2024

2021 article

Dynamic Coverage Meets Regret: Unifying Two Control Performance Measures for Mobile Agents in Spatiotemporally Varying Environments

2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), pp. 521–526.

By: B. Haydon n, K. Mishra n, P. Keyantuo*, D. Panagou *, F. Chow*, S. Moura *, C. Vermillion n

TL;DR: A clear correlation between an appropriately defined measure of dynamic coverage and regret is demonstrated, then performance bounds on dynamic coverage as a function of the environmental parameters are derived. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: May 31, 2022

2021 journal article

Generalized Empirical Regret Bounds for Control of Renewable Energy Systems in Spatiotemporally Varying Environments

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 144(4).

By: B. Haydon n, J. Cole n, L. Dunn*, P. Keyantuo*, F. Chow *, S. Moura *, C. Vermillion n

TL;DR: A very large synthetic data set is used, identified through parameters from real wind data, to derive probabilistic bounds on the difference between optimal and actual performance, termed regret, for mobile systems that can optimize their locations in real time within a spatiotemporally varying renewable energy resource. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: March 21, 2022

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