2023 journal article

Stability and Performance of an Undersea Kite Operating in a Turbulent Flow Field

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 31(4), 1663–1678.

By: J. Reed n, A. Abney n, K. Mishra n, K. Naik n, E. Perkins n & C. Vermillion n

author keywords: Autonomous underwater vehicles; power generation; stability analysis; system validation
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Source: Web Of Science
Added: July 31, 2023

2022 article

Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems

Cobb, M., Reed, J., Wu, M., Mishra, K. D., Barton, K., & Vermillion, C. (2022, April 22). IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY.

By: M. Cobb, J. Reed n, M. Wu*, K. Mishra n, K. Barton* & C. Vermillion n

author keywords: Economics; Time-domain analysis; Iterative learning control; Predictive models; Indexes; Trajectory; Optimization; Iterative learning control (ILC); marine energy systems; optimal path following; receding horizon control; renewable energy systems; repetitive control (RC)
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14. Life Below Water (OpenAlex)
Source: Web Of Science
Added: May 10, 2022

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)
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7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: May 31, 2022

2021 article

Hierarchical Structures for Economic Repetitive Control

2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), pp. 5838–5844.

By: K. Mishra n, J. Reed n, M. Wu*, K. Barton* & C. Vermillion n

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Source: Web Of Science
Added: May 31, 2022

2021 article

Library-Based Norm-Optimal Iterative Learning Control

2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), pp. 5851–5857.

By: J. Reed n, M. Wu*, K. Barton*, C. Vermillion n & K. Mishra n

TL;DR: A new iterative learning control (ILC) methodology, termed library-based norm-optimal ILC, which optimally accounts for variations in measurable disturbances and plant parameters from one iteration to the next, is presented. (via Semantic Scholar)
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Source: Web Of Science
Added: May 31, 2022

2021 article

Parametric Iterative Learning Control: A Method for Adaptation of Feedforward Control, and Application to Gearshift Control

2021 AMERICAN CONTROL CONFERENCE (ACC), pp. 218–223.

By: K. Mishra n & K. Srinivasan*

TL;DR: A framework for parametric iterative learning is introduced, the underlying philosophy of which entails parameterization of feedforward control inputs in the form of look-up tables as functions of the trial-varying aspects of repetitive system operation. (via Semantic Scholar)
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Source: Web Of Science
Added: November 1, 2021

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