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Mitchell Cobb

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2020 – today

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2022
[j4]
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Mitchell Cobb, James Reed, Joshua Daniels, Ayaz Siddiqui, Maxwell Wu, Hosam K. Fathy, Kira Barton, Chris Vermillion:
Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems. IEEE Trans. Control. Syst. Technol. 30(2): 639-653 (2022)
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Mitchell Cobb, James Reed, Maxwell Wu, Kirti D. Mishra, Kira Barton, Chris Vermillion:
Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems. IEEE Trans. Control. Syst. Technol. 30(6): 2767-2774 (2022)
2021
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Chris Vermillion, Mitchell Cobb, Lorenzo Fagiano, Rachel Leuthold, Moritz Diehl, Roy S. Smith, Tony A. Wood, Sebastian Rapp, Roland Schmehl, David J. Olinger, Michael A. Demetriou:
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems. Annu. Rev. Control. 52: 330-357 (2021)
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James Reed, Joshua Daniels, Ayaz Siddiqui, Mitchell Cobb, Michael Muglia, Chris Vermillion:
Optimal Cyclic Control of an Ocean Kite System in a Spatiotemporally Varying Flow Environment. ACC 2021: 596-601
[i1]
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Maxwell Wu, Mitchell Cobb, James Reed, Kirti D. Mishra, Chris Vermillion, Kira Barton:
Receding Horizon Iterative Learning Control for Continuously Operated Systems. CoRR abs/2108.06866 (2021)
2020
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Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion:
Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems. IEEE Trans. Control. Syst. Technol. 28(4): 1447-1459 (2020)
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James Reed, Joshua Daniels, Ayaz Siddiqui, Mitchell Cobb, Chris Vermillion:
Optimal Exploration and Charging for an Autonomous Underwater Vehicle with Energy-Harvesting Kite. ACC 2020: 4134-4139
[c5]
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Maxwell J. Wu, Mitchell Cobb, Chris Vermillion, Kira Barton:
A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives. ACC 2020: 4792-4797

2010 – 2019

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2019
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Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion:
An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion. ACC 2019: 2164-2170
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Mitchell Cobb, Maxwell Wu, Kira Barton, Chris Vermillion:
Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy. CDC 2019: 5580-5586
2017
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Michelle A. Kehs, Mitchell Cobb, Hosam K. Fathy, Chris Vermillion:
Insights from an experimental study on the crosswind flight of a lab-scale buoyant air turbine. ACC 2017: 5494-5499
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Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion:
Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems. CDC 2017: 2698-2704

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