Mitchell Cobb

According to our database, Mitchell Cobb authored at least 12 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

Mitchell Cobb, James Reed, Maxwell Wu, Kirti D. Mishra, Kira Barton, Chris Vermillion

IEEE Trans. Control. Syst. Technol., 2022

Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems.

Mitchell Cobb, James Reed, Joshua Daniels, Ayaz Siddiqui, Maxwell Wu, Hosam K. Fathy, Kira Barton, Chris Vermillion

IEEE Trans. Control. Syst. Technol., 2022

2021

Receding Horizon Iterative Learning Control for Continuously Operated Systems.

Maxwell Wu, Mitchell Cobb, James Reed, Kirti D. Mishra, Chris Vermillion, Kira Barton

CoRR, 2021

Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems.

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

Annu. Rev. Control., 2021

Optimal Cyclic Control of an Ocean Kite System in a Spatiotemporally Varying Flow Environment.

James Reed, Joshua Daniels, Ayaz Siddiqui, Mitchell Cobb, Michael Muglia, Chris Vermillion

Proceedings of the 2021 American Control Conference, 2021

2020

Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems.

Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion

IEEE Trans. Control. Syst. Technol., 2020

A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives.

Maxwell J. Wu, Mitchell Cobb, Chris Vermillion, Kira Barton

Proceedings of the 2020 American Control Conference, 2020

Optimal Exploration and Charging for an Autonomous Underwater Vehicle with Energy-Harvesting Kite.

James Reed, Joshua Daniels, Ayaz Siddiqui, Mitchell Cobb, Chris Vermillion

Proceedings of the 2020 American Control Conference, 2020

2019

Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy.

Mitchell Cobb, Maxwell Wu, Kira Barton, Chris Vermillion

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion.

Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion

Proceedings of the 2019 American Control Conference, 2019

2017

Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems.

Mitchell Cobb, Kira Barton, Hosam K. Fathy, Chris Vermillion

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Insights from an experimental study on the crosswind flight of a lab-scale buoyant air turbine.

Michelle A. Kehs, Mitchell Cobb, Hosam K. Fathy, Chris Vermillion

Proceedings of the 2017 American Control Conference, 2017