Publications
Book Chapter:
Chris Vermillion, Ben Glass, and Adam Rein, “Lighter-Than-Air Wind Energy Systems,” In Airborne Wind Energy, Springer, September, 2013.
Journal/Magazine Publications:
J1. Kartik Naik, Sumedh Beknalkar, Andre Mazzoleni, Hosam Fathy, and Chris Vermillion, “Pareto Optimal and Dual-Objective Geometric and Structural Design of an Underwater Kite for Closed-Loop Flight Performance,” Submitted to ASME Journal of Dynamic Systems, Measurement, and Control – under review.
J2. Mitchell Cobb, James Reed, Maxwell Wu, Kirti Mishra, Kira Barton, and Chris Vermillion, “Flexible-Time Receding Horizon Iterative Learning Control with Application to Marine Hydrokinetic Energy Systems,” Submitted to IEEE Transactions on Control Systems Technology – under review.
J3. Maxwell Wu, Mitchell Cobb, James Reed, Kirti Mishra, Chris Vermillion, and Kira Barton, “Receding Horizon Iterative Learning Control for Continuously Operated Systems,” Submitted to Automatica – under review.
J4. Ben Groelke, Christian Earnhardt, John Borek, and Chris Vermillion, “A Predictive Command Governor-Based Adaptive Cruise Controller with Collision Avoidance for Non-Cooporative Vehicle Following,” Submitted to IEEE Transactions on Intelligent Transportation Systems – under review.
J5. Christian Earnhardt, Ben Groelke, John Borek, Evan Pelletier, Sean Brennan, and Chris Vermillion, “Cooporative Exchange-Based Platooning for Fuel-Optimal Control of Heavy-Duty Vehicles,” Submitted to IEEE Transactions on Intelligent Transportation Systems – under review.
J6. James Reed, Michael Muglia, Mitchell Cobb, and Chris Vermillion, “Dynamic Characterization, Flow Modeling, and Hierarchical Control of an Energy-Harvesting Underwater Kite in Realistic Ocean Conditions,” Submitted to International Marine Energy Journal – under review.
J7. Andrew Abney, James Reed, Kartik Naik, Sam Bryant, Dillon Herbert, Zak Leonard, Ashwin Vadlamannati, Mariah Mook, Sumedh Beknalkar, Miguel Alvarez, Kenneth Granlund, Matthew Bryant, Andre Mazzoleni, Hosam Fathy, and Chris Vermillion, “Autonomous Closed-Loop Experimental Characterization and Dynamic Model Validation of a Scaled Underwater Kite,” Accepted February, 2022 to ASME Journal of Dynamic Systems, Measurement, and Control – awaiting press.
J8. Ben Haydon, Jack Cole, Laurel Dunn, Patrick Keyantuo, Tina Chow, Scott Moura, and Chris Vermillion, “Generalized Empirical Regret Bounds for Control of Renewable Energy Systems in Spatiotemporally Varying Environments,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 144, Issue 4, 2022.
J9. Mitchell Cobb, James Reed, Joshua Daniels, Ayaz Siddiqui, Max Wu, Hosam Fathy, Kira Barton, and Chris Vermillion, “Iterative Learning Control-Based Path Optimization for Economic Performance Objectives with Application to Marine Hydrokinetic Energy Systems,” Accepted February, 2022 to IEEE Transactions on Control Systems Technology – awaiting press.
J10. Chris Vermillion, Mitchell Cobb, Lorenzo Fagiano, Rachel Leuthold, Moritz Diehl, Roy Smith, Tony Wood, Sebastian Rapp, Roland Schmehl, David Olinger, and Michael Demetriou “Electricity in the Air: Insights From Two Decades of Advanced Control Research and Experimental Flight Testing of Airborne Wind Energy Systems,” Submitted to Annual Reviews in Control, Vol. 52, pp. 330-357, 2021.
J11. Christian Earnhardt, Ben Groelke, John Borek, and Chris Vermillion, “Hierarchical Model Predictive Control Approaches for Strategic Platoon Engagement of Heavy-Duty Trucks,” Accepted to IEEE Transactions on Intelligent Transportation Systems – available online May, 2021.
J12. Joseph Deese, Peter Tkacik, and Chris Vermillion, “Gaussian Process-Driven, Nested Experimental Co-Design: Theoretical Framework and Application to an Airborne Wind Energy System,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 143, Issue 5, 2021.
J13. John Borek, Ben Goelke, Christian Earnhardt, and Chris Vermillion, “Hierarchical Control of Heavy-Duty Trucks Through Signalized Intersections with Non-Deterministic Signal Timing,” Accepted to IEEE Transactions on Intelligent Transportation Systems – available online as of November, 2021.
J14. Ben Groelke, John Borek, Christian Earnhardt, and Chris Vermillion, “Design and Performance Analysis of a Cascaded Model Predictive Controller and Reference Governor for Fuel-Efficient Control of Heavy-Duty Trucks,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 143, Issue 6, 2021.
J15. Christian Earnhardt, Ben Groelke, John Borek, Mohammad Naghnaeian, and Chris Vermillion, “A Multi-Rate, Multi-Scale Economic Model Predictive Control Approach for Velocity Trajectory Optimization of a Heavy-Duty Truck,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 143, Issue 3, 2021.
J16. Joseph Deese and Chris Vermillion, “Recursive Gaussian Process-based Adaptive Control, with Application to a Lighter-Than-Air Wind Energy System,” IEEE Transactions on Control Systems Technology, Vol. 29, Issue 4, pp. 1823-1830, 2021.
J17. Ayaz Siddiqui, Kartik Naik, Mitchell Cobb, Kenneth Granlund, and Chris Vermillion, “Lab-Scale, Closed-Loop Experimental Characterization, Model Refinement, and Validation of a Hydrokinetic Energy-Harvesting Ocean Kite,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 142, Issue 11, 2020.
J18. John Borek, Ben Groelke, Christian Earnhardt, and Chris Vermillion, “Economic Optimal Control for Minimizing Fuel Consumption of Heavy-Duty Trucks in a Highway Environment,” IEEE Transactions on Control Systems Technology, Vol. 28, Issue 5, pp. 1652-1664, 2020.
J19. Mitchell Cobb, Kira Barton, Hosam Fathy, and Chris Vermillion, “Iterative Learning-Based Path Optimization for Repetitive Path Planning, with Application to 3D Crosswind Flight of Airborne Wind Energy Systems,” IEEE Transactions on Control Systems Technology, Vol. 28, Issue 4, pp. 1447-1459, 2020.
J20. Uros Kalabic, Nan Li, Chris Vermillion, and Ilya Kolmanovsky, “Reference Governors for Chance-Constrained Systems,” Automatica, Vol. 109, 2019.
J21. Sathvik Divi, Shubham Tandon, Michael Muglia, Chris Vermillion, and Andre Mazzoleni, “Modeling and dynamic analysis of a mobile underwater turbine system for harvesting Marine Hydrokinetic Energy,” Ocean Engineering, Vol. 187, 2019.
J22. Ali Baheri and Chris Vermillion, “Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study,”ASME Journal of Dynamics, Measurement, and Control, Vol. 141, Issue 9, 2019.
J23. Shamir Bin-Karim, Alireza Bafandeh, Ali Baheri, and Chris Vermillion, “Spatiotemporal Optimization Through Gaussian Process Based Model Predictive Control: Case Study in Airborne Wind Energy,” IEEE Transactions on Control Systems Technology, Vol. 27, Issue 2, pp. 798-805, 2019.
J24. Nihar Deodhar and Chris Vermillion, “Convergence Analysis and Experimental Validation of a Fused Numerical/Experimental Active System Optimization Framework,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 141, Issue 4, 2018.
J25. Joe Deese and Chris Vermillion ,”Nested Plant/Controller Co-Design Using G-Optimal Design and Continuous Time Adaptation Laws: Theoretical Framework and Application to an Airborne Wind Energy System,” ASME Journal on Dynamic Systems, Measurement, and Control, Vol. 140, Issue 12, 2018.
J26. Ali Baheri, Praveen Ramaprabhu, and Chris Vermillion ,”Iterative 3D Layout Optimization and Parametric Trade Study for a Reconfigurable Ocean Current Turbine Array Using Bayesian Optimization,” Renewable Energy, Vol. 127, pp. 1052-1063, 2018.
J27. Alireza Bafandeh, Shamir Bin-Karim, Ali Baheri, and Chris Vermillion, “A Comparative Assessment of Hierarchical Control Structures for Spatiotemporally-Varying Systems, with Application to Airborne Wind Energy,” Control Engineering Practice, Vol. 74, pp. 71-83, 2018.
J28. Parvin NikpoorParizi, Nihar Deodhar, and Chris Vermillion, “Modeling, Control Design, and Combined Plant/Controller Optimization for an Energy-Harvesting Tethered Wing,” IEEE Transactions on Control Systems Technology, Vol. 26, Issue 4, 2018.
J29. Michelle Kehs, Chris Vermillion, and Hosam Fathy, “Online Energy Maximization of an Airborne Wind Energy Generator in Periodic Flight,” IEEE Transactions on Control Systems Technology, Vol. 26, Issue 2, pp. 393-403, 2018.
J30. Mitchell Cobb, Nihar Deodhar, and Chris Vermillion, “Lab-Scale Experimental Characterization and Dynamic Scaling Assessment for Closed-Loop Crosswind Flight of Airborne Wind Energy Systems,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 140, Issue 7, 2017, Winner of the Rudolf Kalman Best Paper Award.
J31. Ali Baheri, Shamir Bin-Karim, Alireza Bafandeh, and Chris Vermillion, “Real-Time Control Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems,” Control Engineering Practice, Vol. 69, pp. 131-140, 2017.
J32. Nihar Deodhar, Joseph Deese, and Chris Vermillion, “Experimenally-Infused Plant and Controller Optimization Using Iterative Design of Experiments – Theoretical Framework and Airborne Wind Energy Case Study,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 140, Issue 1, 2017.
J33. Nihar Deodhar, Alireza Bafandeh, Joe Deese, Tim Muyimbwa, Chris Vermillion, and Peter Tkacik, “Laboratory-Scale Flight Characterization of a Multitethered Aerostat for Wind Energy Generation,” AIAA Journal, Vol. 55, Issue 6, pp. 1823-1832, 2017.
J34. Alireza Bafandeh and Chris Vermillion, “Altitude Optimization of Airborne Wind Energy Systems via Switched Extremum Seeking – Design, Analysis, and Economic Assessment,” IEEE Transactions on Control Systems Technology, Vol. 25, Issue 6, pp. 2022-2033, 2017.
J35. Christopher DiMarco, John Ziegert, and Chris Vermillion, “Exponential and Sigmoid-Interpolated Machining Strategies,” SME Journal of Manufacturing Systems, Vol. 37, Part 2, pp.535-541, 2015.
J36. Chris Vermillion, Amor Menezes, and Ilya Kolmanovsky, “Stable Hierarchical Model Predictive Control Using an Inner Loop Reference Model and λ-Contractive Terminal Constraint Sets,” Automatica, Vol. 50, Issue 1, pp. 92-99, 2014.
J37. Chris Vermillion, Trey Grunnagle, Ronny Lim, and Ilya Kolmanovsky, “Model-Based Plant Design and Hierarchical Control of a Prototype Lighter-Than-Air Wind Energy System, with Experimental Flight Test Results,” IEEE Transactions on Control Systems Technology, Vol. 22, Issue 2, pp. 531-542, 2014.
J38. Chris Vermillion and Lorenzo Fagiano, “Electricity in the Air: Tethered Wind Energy Systems,” ASME Dynamic Systems and Control Magazine, pp. S14–S21, 2013.
J39. Chris Vermillion, Jing Sun, and Ken Butts, “Robust Control of Modular Systems Using an Inner Loop Reference Model and µ Synthesis Techniques,” International Journal of Robust and Nonlinear Control, Published online May, 2012.
J40. Chris Vermillion, Jing Sun, and Ken Butts, “Predictive Control Allocation for a Thermal Management System Based on an Inner Loop Reference Model – Design, Analysis, and Experimental Results,” IEEE Transactions on Control Systems Technology, Vol. 19, Issue 4, pp. 772-781, July, 2010.
J41. Chris Vermillion, Jing Sun, and Ken Butts, “Modeling, Control Design, and Experimental Validation of an Overactuated Thermal Management System for Engine Dynamometer Applications,” IEEE Transactions on Control Systems Technology, Vol. 17, Issue, 3, pp. 540-551, May, 2009.
Conference Publications:
C1. Kavin Govindarajan, Ben Haydon, Kirti Mishra, and Chris Vermillion, “Coverage-Maximizing Solar-Powered Autonomous Surface Vehicle Control for Persistent Gulf Stream Observation,” Accepted to the 2022 American Control Conference, Atlanta, GA.
C2. Zachary Leonard, Samuel Bryant, Kartik Naik, Andrew Abney, Dillon Herbert, Hosam Fathy, Kenneth Granlund, Andre Mazzoleni, Matthew Bryant, and Chris Vermillion, “Sensor Fusion Observer Design and Experimental Validation for an Underwater Kite,” Accepted to the 2022 American Control Conference, Atlanta, GA.
C3. James Reed, Kirti Mishra, Max Wu, Kira Barton, and Chris Vermillion, “Library-Based Norm-Optimal Iterative Learning Control,” Proceedings of the 2021 IEEE Conference on Decision and Control, virtual.
C4. Max Wu, Chris Vermillion, and Kira Barton, “Point-to-Point Repetitive Control with Optimal Tracking Time,” Proceedings of the 2021 IEEE Conference on Decision and Control, virtual.
C5. Ben Haydon, Kirti Mishra, Patrick Keyantuo, Dimitra Panagou, Tina Chow, Scott Moura, and Chris Vermillion, “Dynamic Coverage Meets Regret: Unifying Two Control Performance Measures for Mobile Agents in Spatiotemporally Varying Environments,” Proceedings of the 2021 IEEE Conference on Decision and Control, virtual.
C6. Kirti Mishra, James Reed, Maxwell Wu, Kira Barton, and Chris Vermillion, “Hierarchical Structures for Economic Repetitive Control,” Proceedings of the 2021 IEEE Conference on Decision and Control, virtual.
C7. Ayaz Siddiqui, Ben Haydon, and Chris Vermillion, “A Gaussian Process-Based Receding Horizon Adaptive Control Strategy for Energy-Efficient Exploration of Spatiotemporally Varying Environments,” Proceedings of the 2021 American Control Conference, virtual.
C8. James Reed, Joshua Daniels, Ayaz Siddiqui, Mitchell Cobb, Mike Muglia, and Chris Vermillion, “Optimal Cyclic Control of an Ocean Kite System in a Spatiotemporally Varying Flow Environment,” Proceedings of the 2021 American Control Conference, virtual.
C9. Kartik Naik, Sumedh Beknalkar, Andre Mazzoleni, and Chris Vermillion, “Fused Geometric, Structural, and Control Co-Design Framework for an Energy-Harvesting Ocean Kite,” Proceedings of the 2021 American Control Conference, virtual.
C10. Wushang Bai, John Borek, Liming Gao, Chris Vermillion, and Sean Brennan, “Determining the Region of Influence of a Signalized Traffic Intersection by Analysis of Heavy-Duty Diesel Vehicle Fuel Consumption,” Proceedings of the 2021 American Control Conference, virtual.
C11. Joseph Deese and Chris Vermillion, “Real-Time Experimental Optimization of Closed-Loop Crosswind Flight of Airborne Wind Energy Systems via Recursive Gaussian Process-based Adaptive Control,” Proceedings of the 2020 IEEE Conference on Control Technology and Applications, Montreal, Canada.
C12. James Reed, Mitchell Cobb, Joshua Daniels, Ayaz Siddiqui, Michael Muglia, and Chris Vermillion, “Hierarchical Control Design and Performance Assessment of an Ocean Kite in a Turbulent Flow Environment,” Proceedings of the 2020 IFAC World Congress, Berlin, Germany.
C13. Joshua Daniels, James Reed, Mitchell Cobb, Ayaz Siddiqui, and Chris Vermillion, “Optimal Cyclic Spooling Control of Kite-Based Energy Systems,” Proceedings of the 2020 IFAC World Congress, Berlin, Germany.
C14. Blake Shepherd, Ben Haydon, and Chris Vermillion, “Serious Sailing: Time-Optimal Control of Sailing Drones in Stochastic, Spatiotemporally Varying Wind Fields,” Proceedings of the 2020 American Control Conference, Denver, CO.
C15. Maxwell Wu, Mitchell Cobb, Chris Vermillion, and Kira Barton, “A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives,” Proceedings of the 2020 American Control Conference, Denver, CO.
C16. James Reed, Josh Daniels, Ayaz Siddiqui, Mitchell Cobb, and Chris Vermillion, “Optimal Exploration and Charging for an Autonomous Underwater Vehicle with Energy-Harvesting Kite,” Proceedings of the 2020 American Control Conference, Denver, CO.
C17. Ali Baheri and Chris Vermillion, “Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems,” Proceedings of the 2020 American Control Conference, Denver, CO.
C18. Mitchell Cobb, Max Wu, Kira Barton, and Chris Vermillion, “Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy,” Proceedings of the 2019 IEEE Conference on Decision and Control, Nice, France.
C19. Christian Earnhardt, Ben Groelke, John Borek, and Chris Vermillion, “Fused Model Predictive Control Techniques for Strategic Platooning Amongst Heterogeneous Pairs of Heavy-Duty Trucks,” Proceedings of the 2019 ASME Dynamic Systems and Control Conference, Park City, UT.
C20. Ben Groelke, Christian Earnhardt, John Borek, and Chris Vermillion, “Analysis of a Novel Command Governor-Based Adaptive Cruise Controller for Non-Cooperative Vehicle Following,” Proceedings of the 2019 ASME Dynamic Systems and Control Conference, Park City, UT.
C21. Ben Haydon, Jack Cole, Laurel Dunn, Patrick Keyantuo, Tina Chow, Scott Moura, and Chris Vermillion, “Empirical Regret Bounds for Control in Spatiotemporally Varying Environments: A Case Study in Airborne Wind Energy,” Proceedings of the 2019 ASME Dynamic Systems and Control Conference, Park City, UT.
C22. Ayaz Siddiqui, Joe Deese, Praveen Ramaprabhu, and Chris Vermillion, “Flight Dynamics and Control of a Farm of Tethered Energy Systems in a Turbulent Field,” Proceedings of the 2019 ASME Dynamic Systems and Control Conference, Park City, UT.
C23. Joe Deese and Chris Vermillion, “Recursive Gaussian Process-Based Adaptive Control: Theoretical Framework and Application to Airborne Wind Energy Systems,” Proceedings of the 2019 IEEE Conference on Control Technology and Applications, Hong Kong, China.
C24. Shamir Bin-Karim, Michael Muglia, and Chris Vermillion,”Centralized Position Optimization of Multiple Agents in Spatiotemporally-Varying Environments: A Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream,” Proceedings of the 2019 IEEE Conference on Control Technology and Applications, Hong Kong, China.
C25. John Borek, Ben Groelke, Christian Earnhardt, and Chris Vermillion, “Economic Optimal Control of Heavy-Duty Trucks in Urban Environments through Fused Model Predictive Control and Adaptive Cruise Control,” Proceedings of the 2019 American Control Conference, Philadephia, PA.
C26. Mitchell Cobb, Kira Barton, Hosam Fathy, and Chris Vermillion, “An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion,” Proceedings of the 2019 American Control Conference, Philadelphia, PA.
C27. Laurel Dunn, Chris Vermillion, Fotini Katopodes Chow, and Scott Moura, “On Wind Speed Observability for Altitude Control of Airborne Wind Energy Systems,” Proceedings of the 2019 American Control Conference, Philadelphia, PA.
C28. Joe Deese, Peyman Razi, Michael Muglia, Praveen Ramaprabhu, and Chris Vermillion, “Fused Closed-Loop Flight Dynamics and Wake Interaction Modeling of Tethered Energy Systems,” Proceedings of the 2018 ASME Dynamic Systems and Control Conference, Atlanta, GA.
C29. Nihar Deodhar and Chris Vermillion, “Experimentally-Infused Active System Optimization Framework: Theoretical Convergence Analysis and Airborne Wind Energy Case Study,” Proceedings of the 2018 ASME Design Automation Conference (Part of IDETC 2018), Quebec, QC, Canada.
C30. Ben Groelke, Christian Earnhardt, John Borek, and Chris Vermillion, “A Cascaded Multi-Rate Model Predictive Control and Reference Governor Approach for Real-Time Velocity Optimization in the Presence of Traffic,” Proceedings of AVEC 2018, Beijing, China.
C31. Christian Earnhardt, John Borek, Ben Groelke, Stephen Geyer, and Chris Vermillion, “Fused Global-Local Economic Model Predictive Control for Real-Time Eco-Optimal Control of a Heavy Duty Truck,” Proceedings of AVEC 2018, Beijing, China.
C32. Shamir Bin-Karim, Michael Muglia, Andre Mazzoleni, and Chris Vermillion, “Control of a Relocatable Energy-Harvesting Autonomous Underwater Vehicle in a Spatiotemporally-Varying Gulf Stream Resource,” Proceedings of the 2018 American Control Conference, Milwaukee, WI.
C33. Ben Groelke, John Borek, Christian Earnhardt, Jian Li, Stephen Geyer, and Chris Vermillion, “A Comparative Assessment of Economic Model Predictive Control Strategies for Fuel Economy Optimization of Heavy-Duty Trucks,” Proceedings of the 2018 American Control Conference, Milwaukee, WI.
C34. Alireza Bafandeh and Chris Vermillion, “Optimal Control of Integrated Airborne Wind-Battery-Generator Systems with Globalized Lyapunov-based Switched Extremum Seeking,” Proceedings of the 2018 European Control Conference, Limassol, Cyprus.
C35. Mitchell Cobb, Kira Barton, Hosam Fathy, and Chris Vermillion, “Iterative Learning-Based Waypoint Optimization for Repetitive Path Planning, with Application to Airborne Wind Energy Systems,” Proceedings of the 2017 IEEE Conference on Decision and Control, Melbourne, Australia.
C36. Ali Baheri and Chris Vermillion, “Context-Dependent Bayesian Optimization in Real-Time Control; A Case Study in Airborne Wind Energy Systems,” Proceedings of BayesOpt 2017, Long Beach, CA.
C37. Ali Baheri, Praveen Ramaprabhu, and Chris Vermillion, “Iterative In-Situ 3D Layout Optimization of a Reconfigurable Ocean Current Turbine Array Using Bayesian Optimization,” Proceedings of the 2017 ASME Dynamic Systems and Control Conference, Washington, DC.
C38. Ali Baheri, Joe Deese, and Chris Vermillion, “Combined Plant and Controller Design Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems,” Proceedings of the 2017 ASME Dynamic Systems and Control Conference, Washington, DC.
C39. Alireza Bafandeh, Shamir Bin-Karim, and Chris Vermillion, “Fused Local-Global Control of Spatiotemporally-Varying Systems: A Case Study in Airborne Wind Energy,” Proceedings of the 2017 IEEE Conference on Control Technology and Applications, Kohala Coast, HI.
C40. Joe Deese, Nihar Deodhar, and Chris Vermillion, “Nested Plant/Controller Co-Design Using G-Optimal Design and Extremum Seeking: Theoretical Framework and Application to an Airborne Wind Energy System,” Proceedings of the 2017 IFAC World Congress, Toulouse, France.
C41. Uros Kalabic, Chris Vermillion, and Ilya Kolmanovsky, “Constraint Enforcement for a Lighter-Than-Air Wind Energy System: An Application of Reference Governors with Chance Constraints,” Proceedings of the 2017 IFAC World Congress, Toulouse, France.
C42. Ali Baheri and Chris Vermillion, “Altitude Optimization of Airborne Wind Energy Systems: A Bayesian Optimization Approach,” Proceedings of the 2017 American Control Conference, Seattle, WA.
C43. Michelle Kehs, Mitchell Cobb, Hosam Fathy, and Chris Vermillion, “Insights from an Experimental Study on the Crosswind Flight of a Lab-scale Buoyant Air Turbine,” Proceedings of the 2017 American Control Conference, Seattle, WA.
C44. Shamir Bin-Karim, Alireza Bafandeh, and Chris Vermillion, “Spatio-Temporal Optimization Through Model Predictive Control: A Case Study in Airborne Wind Energy,” Proceedings of the 2016 IEEE Conference on Decision and Control, Las Vegas, NV.
C45. Mitchell Cobb, Chris Vermillion, and Hosam Fathy, “Lab-Scale Experimental Crosswind Flight Control System Prototyping for an Airborne Wind Energy System,” Proceedings of the 2016 ASME Dynamic Systems and Control Conference, Minneapolis, MN.
C46. Chris DiMarco, Chris Vermillion, and John Ziegert, “Disturbance & Performance-Weighted Iterative Learning Control with Application to Modulated Tool Path-Based Manufacturing,” Proceedings of the 2016 ASME Dynamic Systems and Control Conference, Minneapolis, MN.
C47. Nihar Deodhar and Chris Vermillion, “A Framework for Fused Experimental/Numerical Plant and Control System Optimization Using Iterative G-Optimal Design of Experiments,” Proceedings of the 2016 ASME Design Automation Conference (part of ASME IDETC/CIE), Charlotte, NC.
C48. Parvin Nikpoorparizi, Nihar Deodhar, and Chris Vermillion, “Combined Plant and Controller Analysis and Optimization for an Energy-Harvesting Tethered Wing,” Proceedings of the 2016 American Control Conference, Boston, MA.
C49. Alireza Bafandeh and Chris Vermillion, “Real-Time Altitude Optimization of Airborne Wind Energy Systems Using Lyapunov-Based Switched Extremum Seeking Control,” Proceedings of the 2016 American Control Conference, Boston, MA. Recipient of Best Presentation in Session Award (specific to the American Control Conference).
C50. Michelle Kehs, Hosam Fathy, and Chris Vermillion, “Maximizing Average Power Output of an Airborne Wind Energy Generator Under Parametric Uncertainties,” Proceedings of the 2015 ASME Dynamic Systems and Control Conference, Columbus, OH.
C51. Christopher DiMarco, John Ziegert, and Chris Vermillion, “Exponential and Sigmoid-Interpolated Machining Strategies,” Proceedings of the 2015 SME North American Manufacturing Research Conference. Recipient of the NARMC Outstanding Paper Award.
C52. Nihar Deodhar, Chris Vermillion, and Peter Tkacik, “A Case Study in Experimentally-Infused Plant and Controller Optimization for Airborne Wind Energy Systems,” Proceedings of the 2015 American Control Conference, Chicago, IL.
C53. Joseph Deese, Tim Muyimbwa, Chris Vermillion, and Peter Tkacik, “Lab-Scale Characterization of a Lighter-Than-Air Wind Energy System – Closing the Loop,” Proceedings of the 2015 AIAA Lighter-Than-Air Systems Conference (Part of Aviation 2015).
C54. Chris Vermillion, Ben Glass, and Balazs Szalai, “Development and Full-Scale Experimental Validation of a Rapid Prototyping Environment for Plant and Control Design of Airborne Wind Energy Systems,” Proceedings of the 2014 ASME Dynamic Systems and Control Conference, San Antonio, TX.
C55. Chris Vermillion, Ben Glass, and Sam Greenwood, “Evaluation of a Water Channel-Based Platform for Characterizing Aerostat Flight Dynamics: A Case Study on a Lighter-Than-Air Wind Energy System,” Proceedings of the 2014 AIAA Lighter-Than-Air Systems Conference (Part of Aviation 2014), Atlanta, GA.
C56. Chris Vermillion, “Altitude and Crosswind Motion Control for Optimal Power-Point Tracking in Tethered Wind Energy Systems with Airborne Power Generation,” Proceedings of the 2013 ASME Dynamic Systems and Control Conference, Stanford, CA.
C57. Uros Kalabic, Chris Vermillion, and Ilya Kolmanovsky, “Reference Governor Design for Computationally Efficient Attitude and Tether Tension Constraint Enforcement on a Lighter-Than-Air Wind Energy System,” Proceedings of the 2013 European Control Conference, Zurich, Switzerland.
C58. Jonathan Samson, Reza Katebi, and Chris Vermillion, “A Critical Assessment of Airborne Wind Energy Systems,” Proceedings of the 2013 Renewable Power Generation Conference, Beijing, China.
C59. Richard Weng, Kiran Balasubramanian, Chris Vermillion, and Ilya Kolmanovsky, “Model Predictive Control of a Lighter-Than-Air Wind Energy System,” Proceedings of the 2012 ASME Dynamic Systems and Control Conference, Fort Lauderdale, FL.
C60. Chris Vermillion, Trey Grunnagle, and Ilya Kolmanovsky, “Modeling and Control Design for a Prototype Lighter-Than-Air Wind Energy System,” Proceedings of the 2012 American Control Conference, Montreal, QC. Recipient of Best Presentation in Session Award (specific to the American Control Conference).
C61. Chris Vermillion, Amor Menezes, and Ilya Kolmanovsky, “Stable Hierarchical Model Predictive Control Using an Inner Loop Reference Model,” Proceedings of the 2011 International Federation of Automatic Control (IFAC) World Congress, Milan, Italy.
C62. Chris Vermillion, Ken Butts, Kevin Reidy, “Model Predictive Engine Torque Control with Real-Time Driver-in-the-Loop Simulation Results,” Proceedings of the 2010 American Control Conference, Baltimore, MD.
C63. Ryan Boris, Chris Vermillion, Ken Butts, “A Comparative Analysis of Electronic Pedal Algorithms Using a Driver-in-the-Loop Simulator and System Identification of Driver Behavior,” Proceedings of the 2010 American Control Conference, Baltimore, MD.
C64. Chris Vermillion, “Automated Sensitivity-Based Optimization for Control and Identification,” 2010 Workshop on Identification for Automotive Systems, Linz, Austria.
C65. Chris Vermillion, Jing Sun, and Ken Butts, “Model Predictive Control Allocation – Design and Experimental Results on a Thermal Management System,” Proceedings of the 2009 American Control Conference, St. Louis, MO.
C66. Chris Vermillion, Jing Sun, and Ken Butts, “Performance Enhancement of Modular Control Systems Using µ Synthesis,” Proceedings of the 2008 IEEE Conference on Decision and Control, Cancun, Mexico.
C67. Chris Vermillion, Jing Sun, and Ken Butts, “Model Predictive Control Allocation for Overactuated Systems – Stability and Performance,” Proceedings of the 2007 IEEE Conference on Decision and Control, New Orleans, LA.
C68. Chris Vermillion, Jing Sun, Ken Butts, and Frank Biens, “Control Strategies and Experimental Results of an Engine Thermal Management System for Fast and Accurate Dynamometer Engine Mapping,” Proceedings of the 2007 IAV Conference on Design of Experiments, Berlin, Germany.
C69. Chris Vermillion, Jing Sun, Ken Butts, and Andy Hall, “Modeling and Analysis of a Thermal Management System for Engine Calibration,” Proceedings of the 2006 IEEE Conference on Control Applications, Munich, Germany.