Chris Vermillion

Naik, K., & Vermillion, C. (2024). Integrated physical design, control design, and site selection for an underwater energy-harvesting kite system. RENEWABLE ENERGY, 220. https://doi.org/10.1016/j.renene.2023.119687

Bhattacharjee, D., Tiburcio, M. A., Opila, D. F., Vermillion, C., & Fathy, H. K. (2023). Co-Optimization of the Spooling and Cross-Current Trajectories of an Energy Harvesting Marine Hydrokinetic Kite. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 145(7). https://doi.org/10.1115/1.4062574

Naik, K., Beknalkar, S., Reed, J., Mazzoleni, A., Fathy, H., & Vermillion, C. (2023). Pareto Optimal and Dual-Objective Geometric and Structural Design of an Underwater Kite for Closed-Loop Flight Performance. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 145(1). https://doi.org/10.1115/1.4055978

Govindarajan, K., Haydon, B., & Vermillion, C. (2023). Predictive Velocity Trajectory Control for a Persistently Operating Solar-Powered Autonomous Surface Vessel. 2023 AMERICAN CONTROL CONFERENCE, ACC, pp. 2077–2083. https://doi.org/10.23919/ACC55779.2023.10156048

Siddiqui, A., Deese, J., & Vermillion, C. (2023). Recursive Gaussian Process-Based Adaptive Control of a Ducted Kite System for Tidal Energy Harvesting. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 31(4), 1949–1956. https://doi.org/10.1109/TCST.2023.3243441

Reed, J., Abney, A., Mishra, K. D., Naik, K., Perkins, E., & Vermillion, C. (2023). Stability and Performance of an Undersea Kite Operating in a Turbulent Flow Field. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 31(4), 1663–1678. https://doi.org/10.1109/TCST.2023.3237614

Siddiqui, A., Borek, J., & Vermillion, C. (2022, June 6). A Fused Gaussian Process Modeling and Model Predictive Control Framework for Real-Time Path Adaptation of an Airborne Wind Energy System. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY. https://doi.org/10.1109/TCST.2022.3178038

Razi, P., Ramaprabhu, P., Tarey, P., Muglia, M., & Vermillion, C. (2022). A low-order wake interaction modeling framework for the performance of ocean current turbines under turbulent conditions. RENEWABLE ENERGY, 200, 1602–1617. https://doi.org/10.1016/j.renene.2022.10.001

Bhattacharjee, D., Tiburcio, M. A., Opila, D. F., Vermillion, C., & Fathy, H. K. (2022). An Analytic Solution to the Inverse Dynamics of an Energy Harvesting Tethered Kite. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 144(11). https://doi.org/10.1115/1.4055169

Abney, A., Reed, J., Naik, K., Bryant, S., Herbert, D., Leonard, Z., … Vermillion, C. (2022). Autonomous Closed-Loop Experimental Characterization and Dynamic Model Validation of a Scaled Underwater Kite. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 144(7). https://doi.org/10.1115/1.4054141

Beknalkar, S., Naik, K., Vermillion, C., & Mazzoleni, A. (2022). Closed-Loop-Flight-Based Combined Geometric and Structural Wing Design Optimization Framework for a Marine Hydrokinetic Energy Kite. 2022 OCEANS HAMPTON ROADS. https://doi.org/10.1109/OCEANS47191.2022.9977369

Earnhardt, C., Groelke, B., Borek, J., Pelletier, E., Brennan, S., & Vermillion, C. (2022, May 2). Cooperative Exchange-Based Platooning Using Predicted Fuel-Optimal Operation of Heavy-Duty Vehicles. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. https://doi.org/10.1109/TITS.2022.3169390

Abney, A., & Vermillion, C. (2022). Drag-Mitigating Dynamic Flight Path Design for an Ultra-Long Tether Underwater Kite. IFAC PAPERSONLINE, Vol. 55, pp. 151–157. https://doi.org/10.1016/j.ifacol.2022.11.176

Cobb, M., Reed, J., Wu, M., Mishra, K. D., Barton, K., & Vermillion, C. (2022, April 22). Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY. https://doi.org/10.1109/TCST.2022.3165734

Haydon, B., Cole, J., Dunn, L., Keyantuo, P., Chow, F. K., Moura, S., & Vermillion, C. (2022). 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). https://doi.org/10.1115/1.4052396

Earnhardt, C., Groelke, B., Borek, J., Naghnaeian, M., & Vermillion, C. (2021). A Multirate, Multiscale Economic Model Predictive Control Approach for Velocity Trajectory Optimization of a Heavy Duty Truck. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 143(3). https://doi.org/10.1115/1.4048658

Groelke, B., Earnhardt, C., Borek, J., & Vermillion, C. (2021, October 25). A Predictive Command Governor-Based Adaptive Cruise Controller With Collision Avoidance for Non-Connected Vehicle Following. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. https://doi.org/10.1109/TITS.2021.3112113

Groelke, B., Borek, J., Earnhardt, C., & Vermillion, C. (2021). Design and Performance Analysis of a Cascaded Model Predictive Controller and Command Governor for Fuel-Efficient Control of Heavy-Duty Trucks. Journal of Dynamic Systems, Measurement, and Control, 143(6), 061009. https://doi.org/10.1115/1.4049544

Haydon, B., Mishra, K. D., Keyantuo, P., Panagou, D., Chow, F., Moura, S., & Vermillion, C. (2021). 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. https://doi.org/10.1109/CDC45484.2021.9682826

Vermillion, C., Cobb, M., Fagiano, L., Leuthold, R., Diehl, M., Smith, R. S., … Demetriou, M. (2021). [Review of Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems]. ANNUAL REVIEWS IN CONTROL, 52, 330–357. https://doi.org/10.1016/j.arcontrol.2021.03.002

Deese, J., Tkacik, P., & Vermillion, C. (2021). Gaussian Process-Driven, Nested Experimental Co-Design: Theoretical Framework and Application to an Airborne Wind Energy System. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 143(5). https://doi.org/10.1115/1.4049011

Earnhardt, C., Groelke, B., Borek, J., & Vermillion, C. (2021, May 12). Hierarchical Model Predictive Control Approaches for Strategic Platoon Engagement of Heavy-Duty Trucks. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. https://doi.org/10.1109/TITS.2021.3076963

Mishra, K. D., Reed, J., Wu, M., Barton, K., & Vermillion, C. (2021). Hierarchical Structures for Economic Repetitive Control. 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), pp. 5838–5844. https://doi.org/10.1109/CDC45484.2021.9683000

Cobb, M., Reed, J., Daniels, J., Siddiqui, A., Wu, M., Fathy, H., … Vermillion, C. (2021, April 20). Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY. https://doi.org/10.1109/TCST.2021.3070526

Reed, J., Wu, M., Barton, K., Vermillion, C., & Mishra, K. D. (2021). Library-Based Norm-Optimal Iterative Learning Control. 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), pp. 5851–5857. https://doi.org/10.1109/CDC45484.2021.9682812

Wu, M., Vermillion, C., & Barton, K. (2021). Point-to-Point Repetitive Control with Optimal Tracking Time. 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), pp. 5845–5850. https://doi.org/10.1109/CDC45484.2021.9683731

Deese, J., & Vermillion, C. (2021). Recursive Gaussian Process-Based Adaptive Control, With Application to a Lighter-Than-Air Wind Energy System. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 29(4), 1823–1830. https://doi.org/10.1109/TCST.2020.3014159

Borek, J., Groelke, B., Earnhardt, C., & Vermillion, C. (2020). Economic Optimal Control for Minimizing Fuel Consumption of Heavy-Duty Trucks in a Highway Environment. IEEE Transactions on Control Systems Technology, 28(5), 1652–1664. https://doi.org/10.1109/TCST.2019.2918472

Reed, J., Cobb, M., Daniels, J., Siddiqui, A., Muglia, M., & Vermillion, C. (2020). Hierarchical Control Design and Performance Assessment of an Ocean Kite in a Turbulent Flow Environment. IFAC PAPERSONLINE, Vol. 53, pp. 12726–12732. https://doi.org/10.1016/j.ifacol.2020.12.1887

Borek, J., Goelke, B., Earnhardt, C., & Vermillion, C. (2020). Hierarchical Control of Heavy-Duty Trucks Through Signalized Intersections With Non-Deterministic Signal Timing. IEEE Transactions on Intelligent Transportation Systems, 23(8), 13769–13781. https://doi.org/10.1109/TITS.2021.3128068

Siddiqui, A., Naik, K., Cobb, M., Granlund, K., & Vermillion, C. (2020). Lab-Scale, Closed-Loop Experimental Characterization, Model Refinement, and Validation of a Hydrokinetic Energy-Harvesting Ocean Kite. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 142(11). https://doi.org/10.1115/1.4047825

Daniels, J., Reed, J., Cobb, M., Siddiqui, A., & Vermillion, C. (2020). Optimal Cyclic Spooling Control for Kite-Based Energy Systems. IFAC PAPERSONLINE, Vol. 53, pp. 12719–12725. https://doi.org/10.1016/j.ifacol.2020.12.1883

Cobb, M., Barton, K., Fathy, H., & Vermillion, C. (2019). An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion. 2019 American Control Conference (ACC). Presented at the 2019 American Control Conference (ACC). https://doi.org/10.23919/acc.2019.8814773

Bin-Karim, S., Muglia, M., & Vermillion, C. (2019). Centralized Position optimization of Multiple Agents in Spatiotemporally-Varying Environment: a Case Study with Relocatable Energy-Harvesting Autonomous Underwater Vehicles in the Gulf Stream. 2019 IEEE Conference on Control Technology and Applications (CCTA). Presented at the 2019 IEEE Conference on Control Technology and Applications (CCTA). https://doi.org/10.1109/ccta.2019.8920645

Baheri, A., & Vermillion, C. (2019). Combined Plant and Controller Design Using Batch Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. Journal of Dynamic Systems, Measurement, and Control, 141(9). https://doi.org/10.1115/1.4043224

Deodhar, N., & Vermillion, C. (2019). Convergence Analysis and Experimental Validation of a Fused Numerical/Experimental Active System Optimization Framework. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 141(4). https://doi.org/10.1115/1.4042032

Cobb, M. K., Barton, K., Fathy, H., & Vermillion, C. (2019). Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems. IEEE Transactions on Control Systems Technology, 1–13. https://doi.org/10.1109/tcst.2019.2912345

Tandon, S., Divi, S., Muglia, M., Vermillion, C., & Mazzoleni, A. (2019). Modeling and dynamic analysis of a mobile underwater turbine system for harvesting Marine Hydrokinetic Energy. Ocean Engineering, 187, 106069. https://doi.org/10.1016/j.oceaneng.2019.05.051

Dunn, L., Vermillion, C., Chow, F. K., & Moura, S. (2019). On Wind Speed Observability for Altitude Control of Airborne Wind Energy Systems. Proceedings of the 2019 American Control Conference. Presented at the 2019 American Control Conference, Philadelphia, PA.

Borek, J., Groelke, B., Earnhardt, C., & Vermillion, C. (2019). Optimal Control of Heavy-duty Trucks in Urban Environments Through Fused Model Predictive Control and Adaptive Cruise Control. 2019 American Control Conference (ACC). Presented at the 2019 American Control Conference (ACC). https://doi.org/10.23919/acc.2019.8814703

Deese, J., & Vermillion, C. (2019). Recursive Gaussian Process-based Adaptive Control: Theoretical Framework and Application to an Airborne Wind Energy System. 2019 IEEE Conference on Control Technology and Applications (CCTA). Presented at the 2019 IEEE Conference on Control Technology and Applications (CCTA). https://doi.org/10.1109/ccta.2019.8920712

Kalabic, U. V., Li, N. I., Vermillion, C., & Kolmanovsky, I. V. (2019). Reference governors for chance-constrained systems. AUTOMATICA, 109. https://doi.org/10.1016/j.automatica.2019.108500

Bin-Karim, S., Bafandeh, A., Baheri, A., & Vermillion, C. (2019). Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy. IEEE Transactions on Control Systems Technology, 27(2), 798–805. https://doi.org/10.1109/tcst.2017.2779428

Groelke, B., Earnhardt, C., Borek, J., & Vermillion, C. (2018). 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. Presented at the International Symposium On Advanced Vehicle Control, Beijing, China.

Groelke, B., Borek, J., Earnhardt, C., Li, J., Geyer, S., & Vermillion, C. (2018). A Comparative Assessment of Economic Model Predictive Control Strategies for Fuel Economy Optimization of Heavy-Duty Trucks. 2018 Annual American Control Conference (ACC). Presented at the 2018 Annual American Control Conference (ACC). https://doi.org/10.23919/acc.2018.8431050

Bafandeh, A., Bin-Karim, S., Baheri, A., & Vermillion, C. (2018). A comparative assessment of hierarchical control structures for spatiotemporally-varying systems, with application to airborne wind energy. Control Engineering Practice, 74, 71–83. https://doi.org/10.1016/j.conengprac.2018.02.008

Bin-Karim, S., Muglia, M., Mazzoleni, A., & Vermillion, C. (2018). Control of a Relocatable Energy-Harvesting Autonomous Underwater Vehicle in a Spatiotemporally-Varying Gulf Stream Resource. 2018 Annual American Control Conference (ACC). Presented at the 2018 Annual American Control Conference (ACC). https://doi.org/10.23919/acc.2018.8431318

Deodhar, N., & Vermillion, C. (2018). Experimentally-Infused Active System Optimization Framework: Theoretical Convergence Analysis and Airborne Wind Energy Case Study. Volume 2A: 44th Design Automation Conference. Presented at the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. https://doi.org/10.1115/detc2018-85305

Deese, J., Razi, P., Muglia, M., Ramaprabhu, P., & Vermillion, C. (2018). Fused Closed-Loop Flight Dynamics and Wake Interaction Modeling of Tethered Energy Systems. Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems. Presented at the ASME 2018 Dynamic Systems and Control Conference. https://doi.org/10.1115/dscc2018-9190

Earnhardt, C., Borek, J., Groelke, B., Geyer, S., & Vermillion, C. (2018). Fused Global-Local Economic Model Predictive Control for Real-Time Eco-Optimal Control of a Heavy Duty Truck. Proceedings of AVEC 2018. Presented at the International Symposium on Advanced Vehicle Control, Beijing, China.

Baheri, A., Ramaprabhu, P., & Vermillion, C. (2018). Iterative 3D layout optimization and parametric trade study for a reconfigurable ocean current turbine array using Bayesian Optimization. Renewable Energy, 127, 1052–1063. https://doi.org/10.1016/j.renene.2018.05.040

Cobb, M., Deodhar, N., & Vermillion, C. (2018). Lab-Scale Experimental Characterization and Dynamic Scaling Assessment for Closed-Loop Crosswind Flight of Airborne Wind Energy Systems. Journal of Dynamic Systems, Measurement, and Control, 140(7). https://doi.org/10.1115/1.4038650

Nikpoorparizi, P., Deodhar, N., & Vermillion, C. (2018). Modeling, Control Design, and Combined Plant/Controller Optimization for an Energy-Harvesting Tethered Wing. IEEE Transactions on Control Systems Technology, 26(4), 1157–1169. https://doi.org/10.1109/TCST.2017.2721361

Deese, J., & Vermillion, C. (2018). Nested Plant/Controller Codesign Using G-Optimal Design and Continuous Time Adaptation Laws: Theoretical Framework and Application to an Airborne Wind Energy System. Journal of Dynamic Systems, Measurement, and Control, 140(12). https://doi.org/10.1115/1.4040759

Kehs, M., Vermillion, C., & Fathy, H. (2018). Online Energy Maximization of an Airborne Wind Energy Turbine in Simulated Periodic Flight. IEEE Transactions on Control Systems Technology, 26(2), 393–403. https://doi.org/10.1109/tcst.2017.2665553

Bafandeh, A., & Vermillion, C. (2018). Optimal Altitude Control of an Integrated Airborne Wind Energy System with Globalized Lyapunov-based Switched Extremum Seeking. Proceedings of the 2018 European Control Conference. Presented at the 2018 European Control Conference (ECC), Limassol, Cyprus. https://doi.org/10.23919/ECC.2018.8550106

Bafandeh, A., & Vermillion, C. (2017). Altitude Optimization of Airborne Wind Energy Systems via Switched Extremum Seeking—Design, Analysis, and Economic Assessment. IEEE Transactions on Control Systems Technology, 25(6), 2022–2033. https://doi.org/10.1109/tcst.2016.2632534

Baheri, A., & Vermillion, C. (2017). Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach. 2017 American Control Conference (ACC). Presented at the 2017 American Control Conference (ACC). https://doi.org/10.23919/acc.2017.7963143

Kalabić, U., Vermillion, C., & Kolmanovsky, I. (2017). Constraint Enforcement for a Lighter-than-Air Wind-Energy System: An Application of Reference Governors with Chance Constraints. IFAC-PapersOnLine, 50(1), 13258–13263. https://doi.org/10.1016/j.ifacol.2017.08.1962

Baheri, A., & Vermillion, C. (2017). Context-Dependent Bayesian Optimization in Real-Time Control; A Case Study in Airborne Wind Energy Systems. Proceedings of BayesOpt 2017. Presented at the NIPS Workshop on Bayesian Optimization, Long Beach, CA.

Deodhar, N., Deese, J., & Vermillion, C. (2017). Experimentally Infused Plant and Controller Optimization Using Iterative Design of Experiments—Theoretical Framework and Airborne Wind Energy Case Study. Journal of Dynamic Systems, Measurement, and Control, 140(1). https://doi.org/10.1115/1.4037014

Bafandeh, A., Bin-Karim, S., & Vermillion, C. (2017). Fused local-global control of spatiotemporally-varying systems: A case study in airborne wind energy. 2017 IEEE Conference on Control Technology and Applications (CCTA). Presented at the 2017 IEEE Conference on Control Technology and Applications (CCTA). https://doi.org/10.1109/ccta.2017.8062512

Kehs, M., Cobb, M., Fathy, H. K., & Vermillion, C. (2017). Insights from an experimental study on the crosswind flight of a lab-scale buoyant air turbine. 2017 American Control Conference (ACC). Presented at the 2017 American Control Conference (ACC). https://doi.org/10.23919/acc.2017.7963809

Baheri, A., Ramaprabhu, P., & Vermillion, C. (2017). Iterative In-Situ 3D Layout Optimization of a Reconfigurable Ocean Current Turbine Array Using Bayesian Optimization. ASME 2017 Dynamic Systems and Control Conference : October 11-13, 2017, Tysons, Virginia, USA., 3. https://doi.org/10.1115/dscc2017-5230

Cobb, M., Barton, K., Fathy, H., & Vermillion, C. (2017). Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems. 2017 IEEE 56th Annual Conference on Decision and Control (CDC). Presented at the 2017 IEEE 56th Annual Conference on Decision and Control (CDC). https://doi.org/10.1109/cdc.2017.8264051

Deodhar, N., Bafandeh, A., Deese, J., Smith, B., Muyimbwa, T., Vermillion, C., & Tkacik, P. (2017). Laboratory-Scale Flight Characterization of a Multitethered Aerostat for Wind Energy Generation. AIAA Journal, 55(6), 1823–1832. https://doi.org/10.2514/1.j054407

Deese, J., Deodhar, N., & Vermillion, C. (2017). Nested Plant/Controller Co-Design Using G-Optimal Design and Extremum Seeking: Theoretical Framework and Application to an Airborne Wind Energy System * *This work was supported by NSF grant number 1453912, entitled CAREER: Efficient Experimental Optimization for High Performance Airborne Wind Energy Systems. IFAC-PapersOnLine, 50(1), 11965–11971. https://doi.org/10.1016/j.ifacol.2017.08.1182

Baheri, A., Bin-Karim, S., Bafandeh, A., & Vermillion, C. (2017). Real-time control using Bayesian optimization: A case study in airborne wind energy systems. Control Engineering Practice, 69, 131–140. https://doi.org/10.1016/j.conengprac.2017.09.007

Deodhar, N., & Vermillion, C. (2016). A Framework for Fused Experimental/Numerical Plant and Control System Optimization Using Iterative G-Optimal Design of Experiments. Volume 2A: 42nd Design Automation Conference. Presented at the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. https://doi.org/10.1115/detc2016-60488

NikpoorParizi, P., Deodhar, N., & Vermillion, C. (2016). Combined plant and controller performance analysis and optimization for an energy-harvesting tethered wing. 2016 American Control Conference (ACC). Presented at the 2016 American Control Conference (ACC). https://doi.org/10.1109/acc.2016.7525564

DiMarco, C., Vermillion, C., & Ziegert, J. C. (2016). Disturbance and Performance-Weighted Iterative Learning Control With Application to Modulated Tool Path-Based Manufacturing. ASME 2016 Dynamic Systems and Control Conference : October 12-14, 2016, Minneapolis, Minnesota, USA, 2. https://doi.org/10.1115/dscc2016-9898

Cobb, M., Vermillion, C., & Fathy, H. (2016). Lab-Scale Experimental Crosswind Flight Control System Prototyping for an Airborne Wind Energy System. Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation. Presented at the ASME 2016 Dynamic Systems and Control Conference. https://doi.org/10.1115/dscc2016-9737

Bafandeh, A., & Vermillion, C. (2016). Real-time altitude optimization of airborne wind energy systems using Lyapunov-based switched extremum seeking control. 2016 American Control Conference (ACC). Presented at the 2016 American Control Conference (ACC). https://doi.org/10.1109/acc.2016.7526144

Bin-Karim, S., Bafandeh, A., & Vermillion, C. (2016). Spatio-temporal optimization through model predictive control: A case study in airborne wind energy. 2016 IEEE 55th Conference on Decision and Control (CDC). Presented at the 2016 IEEE 55th Conference on Decision and Control (CDC). https://doi.org/10.1109/cdc.2016.7798913

Deodhar, N., Vermillion, C., & Tkacik, P. (2015). A case study in experimentally-infused plant and controller optimization for airborne wind energy systems. 2015 American Control Conference (ACC). Presented at the 2015 American Control Conference (ACC). https://doi.org/10.1109/acc.2015.7171087

DiMarco, C., Ziegert, J. C., & Vermillion, C. (2015). Exponential and Sigmoid-Interpolated Machining Strategies. Proceedings of the 2015 SME North American Manufacturing Research Conference, 37(Part 2), 535–541. https://doi.org/10.1016/j.jmsy.2015.04.007

Deese, J. T., Muyimbwa, T., Deodhar, N. A., Vermillion, C. R., & Tkacik, P. (2015). Lab-Scale Characterization of a Lighter-Than-Air Wind Energy System - Closing the Loop. 22nd AIAA Lighter-Than-Air Systems Technology Conference. Presented at the 22nd AIAA Lighter-Than-Air Systems Technology Conference. https://doi.org/10.2514/6.2015-3350

Kehs, M. A., Vermillion, C., & Fathy, H. K. (2015). Maximizing Average Power Output of an Airborne Wind Energy Generator Under Parametric Uncertainties. Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications. Presented at the ASME 2015 Dynamic Systems and Control Conference. https://doi.org/10.1115/dscc2015-9764

Vermillion, C., Glass, B., & Szalai, B. (2014). Development and Full-Scale Experimental Validation of a Rapid Prototyping Environment for Plant and Control Design of Airborne Wind Energy Systems. Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing. Presented at the ASME 2014 Dynamic Systems and Control Conference. https://doi.org/10.1115/dscc2014-5907

Vermillion, C., Glass, B., & Greenwood, S. (2014). Evaluation of a Water Channel-Based Platform for Characterizing Aerostat Flight Dynamics: A Case Study on a Lighter-Than-Air Wind Energy System. 21st AIAA Lighter-Than-Air Systems Technology Conference. Presented at the 21st AIAA Lighter-Than-Air Systems Technology Conference. https://doi.org/10.2514/6.2014-2711

Vermillion, C., Grunnagle, T., Lim, R., & Kolmanovsky, I. (2014). 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, 22(2), 531–542. https://doi.org/10.1109/tcst.2013.2263505

Vermillion, C., Menezes, A., & Kolmanovsky, I. (2014). Stable hierarchical model predictive control using an inner loop reference model and <mml:math altimg="si32.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:mi>λ</mml:mi></mml:math>-contractive terminal constraint sets. Automatica, 50(1), 92–99. https://doi.org/10.1016/j.automatica.2013.10.009

Samson, J., Katebi, R., & Vermillion, C. (2013). A Critical Assessment of Airborne Wind Energy Systems. 2nd IET Renewable Power Generation Conference (RPG 2013). Presented at the 2nd IET Renewable Power Generation Conference (RPG 2013). https://doi.org/10.1049/cp.2013.1852

Vermillion, C. (2013). Altitude and Crosswind Motion Control for Optimal Power-Point Tracking in Tethered Wind Energy Systems With Airborne Power Generation. Volume 3: Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; System Identification (Estimation for Automotive Applications, Modeling, Therapeutic Control in Bio-Systems); Variable Structure/Sliding-Mode Control; Vehicles and Human Robotics; Vehicle Dynamics and Control; Vehicle Path Planning and Collision Avoidance; Vibrational and Mechanical Systems; Wind Energy Systems and Control. Presented at the ASME 2013 Dynamic Systems and Control Conference. https://doi.org/10.1115/dscc2013-3796

Vermillion, C., & Fagiano, L. (2013). Electricity in the Air: Tethered Wind Energy Systems. Mechanical Engineering, 135(09), S13–S21. https://doi.org/10.1115/1.2013-sep-5

Vermillion, C., Glass, B., & Rein, A. (2013). Lighter-Than-Air Wind Energy Systems. In Airborne Wind Energy (pp. 501–514). https://doi.org/10.1007/978-3-642-39965-7_30

Kalabic, U., Vermillion, C., & Kolmanovsky, I. (2013). Reference governor design for computationally efficient attitude and tether tension constraint enforcement on a lighter-than-air wind energy system. 2013 European Control Conference (ECC). Presented at the 2013 European Control Conference (ECC). https://doi.org/10.23919/ecc.2013.6669490

Weng, R., Balasubramanian, K., Vermillion, C., & Kolmanovsky, I. (2012). Model Predictive Longitudinal Control of a Lighter-Than-Air Wind Energy System. Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Presented at the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. https://doi.org/10.1115/dscc2012-movic2012-8613

Vermillion, C., Grunnagle, T., & Kolmanovsky, I. (2012). Modeling and control design for a prototype lighter-than-air wind energy system. 2012 American Control Conference (ACC). Presented at the 2012 American Control Conference - ACC 2012. https://doi.org/10.1109/acc.2012.6315434

Vermillion, C., Sun, J., & Butts, K. (2012). Robust modular control system design using an inner-loop reference model and μ synthesis techniques. International Journal of Robust and Nonlinear Control, 23(12), 1338–1359. https://doi.org/10.1002/rnc.2822

Vermillion, C., Sun, J., & Butts, K. (2011). 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, 19(4), 772–781. https://doi.org/10.1109/tcst.2010.2053370

Vermillion, C., Menezes, A., & Kolmanovsky, I. (2011). Stable Hierarchical Model Predictive Control Using an Inner Loop Reference Model*. IFAC Proceedings Volumes, 44(1), 9278–9283. https://doi.org/10.3182/20110828-6-it-1002.02733

Boris, R., Vermillion, C., & Butts, K. (2010). 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. Presented at the 2010 American Control Conference (ACC 2010). https://doi.org/10.1109/acc.2010.5531117

Vermillion, C. (2010). Automated Sensitivity-Based Optimization for Control and Identification. 2010 Workshop on Identification for Automotive Systems. Linz, Austria.

Vermillion, C., Butts, K., & Reidy, K. (2010). Model predictive engine torque control with real-time driver-in-the-loop simulation results. Proceedings of the 2010 American Control Conference. Presented at the 2010 American Control Conference (ACC 2010). https://doi.org/10.1109/acc.2010.5531241

Vermillion, C., Sun, J., & Butts, K. (2009). Model predictive control allocation - Design and experimental results on a thermal management system. 2009 American Control Conference. Presented at the 2009 American Control Conference. https://doi.org/10.1109/acc.2009.5160203

Vermillion, C., Sun, J., & Butts, K. (2009). Modeling, Control Design, and Experimental Validation of an Overactuated Thermal Management System for Engine Dynamometer Applications. IEEE Transactions on Control Systems Technology, 17(3), 540–551. https://doi.org/10.1109/tcst.2008.2001267

Vermillion, C., Sun, J., & Butts, K. (2008). Performance enhancement of modular control systems using µ synthesis. 2008 47th IEEE Conference on Decision and Control. Presented at the 2008 47th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2008.4738997

Vermillion, C., Sun, J., & Butts, K. (2007). Model predictive control allocation for overactuated systems - stability and performance. 2007 46th IEEE Conference on Decision and Control. Presented at the 2007 46th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2007.4434722

Vermillion, C., Sun, J., Butts, K., & Hall, A. (2006). Modeling and Analysis of a Thermal Management System for Engine Calibration. 2006 IEEE International Conference on Control Applications. Presented at the 2006 IEEE International Conference on Control Applications. https://doi.org/10.1109/cca.2006.286181

Vermillion, C., Sun, J., Butts, K., & Biens, F. 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.