Chris Vermillion

Associate Professor

Dr. Vermillion’s interests lie in the application of optimal control and design optimization tools to cutting-edge problems in renewable energy and energy efficiency. He is particularly interested in the development of tethered systems for harnessing wind and marine hydrokinetic energy, in addition to the use of connected and autonomous vehicles to realize substantial fuel economy improvements over conventional vehicles.

Dr. Vermillion’s research requires strong mathematical fundamentals, as well as the ability to integrate knowledge and critical thinking skills from multiple domains (e.g., control theory, dynamics, and computer aided design) to perform cohesive and practically relevant research. As such, he looks for students who are not only adept in mathematical and control theoretic fundamentals but can also identify and apply knowledge from multiple relevant areas to address research problems.

Publications

A Fused Gaussian Process Modeling and Model Predictive Control Framework for Real-Time Path Adaptation of an Airborne Wind Energy System
Siddiqui, A., Borek, J., & Vermillion, C. (2022, June 6), IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY. https://doi.org/10.1109/TCST.2022.3178038
Autonomous Closed-Loop Experimental Characterization and Dynamic Model Validation of a Scaled Underwater Kite
Abney, A., Reed, J., Naik, K., Bryant, S., Herbert, D., Leonard, Z., … Vermillion, C. (2022), JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME. https://doi.org/10.1115/1.4054141
Cooperative Exchange-Based Platooning Using Predicted Fuel-Optimal Operation of Heavy-Duty Vehicles
Earnhardt, C., Groelke, B., Borek, J., Pelletier, E., Brennan, S., & Vermillion, C. (2022, May 2), IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. https://doi.org/10.1109/TITS.2022.3169390
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. https://doi.org/10.1109/TCST.2022.3165734
Generalized Empirical Regret Bounds for Control of Renewable Energy Systems in Spatiotemporally Varying Environments
Haydon, B., Cole, J., Dunn, L., Keyantuo, P., Chow, F. K., Moura, S., & Vermillion, C. (2022), JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME. https://doi.org/10.1115/1.4052396
A Multirate, Multiscale Economic Model Predictive Control Approach for Velocity Trajectory Optimization of a Heavy Duty Truck
Earnhardt, C., Groelke, B., Borek, J., Naghnaeian, M., & Vermillion, C. (2021), JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 143(3). https://doi.org/10.1115/1.4048658
A Predictive Command Governor-Based Adaptive Cruise Controller With Collision Avoidance for Non-Connected Vehicle Following
Groelke, B., Earnhardt, C., Borek, J., & Vermillion, C. (2021, October 25), IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. https://doi.org/10.1109/TITS.2021.3112113
Design and Performance Analysis of a Cascaded Model Predictive Controller and Command Governor for Fuel-Efficient Control of Heavy-Duty Trucks
Groelke, B., Borek, J., Earnhardt, C., & Vermillion, C. (2021), Journal of Dynamic Systems, Measurement, and Control, 143(6), 061009. https://doi.org/10.1115/1.4049544
Dynamic Coverage Meets Regret: Unifying Two Control Performance Measures for Mobile Agents in Spatiotemporally Varying Environments
Haydon, B., Mishra, K. D., Keyantuo, P., Panagou, D., Chow, F., Moura, S., & Vermillion, C. (2021), 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC). https://doi.org/10.1109/CDC45484.2021.9682826
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems
Vermillion, C., Cobb, M., Fagiano, L., Leuthold, R., Diehl, M., Smith, R. S., … Demetriou, M. (2021). [Review of , ]. ANNUAL REVIEWS IN CONTROL. https://doi.org/10.1016/j.arcontrol.2021.03.002

View all publications via NC State Libraries

Grants

  • Collaborative Research: CPS: Medium: Enabling Autonomous, Persistent, and Adaptive Mobile Observational Networks Through Energy-Aware Dynamic Coverage
  • Persistent Mission Planning and Control for Renewably Powered Robotic Systems
  • Collaborative Research: Workshop on Integrated Design of Active Dynamic Systems
  • CAREER: Efficient Experimental Optimization for High-Performance Airborne Wind Energy Systems
  • Collaborative Research: An Economic Iterative Learning Control Framework with Application to Airborne Wind Energy Harvesting
  • Collaborative Research: Multi-Scale, Multi-Rate Spatiotemporal Optimal Control with Application to Airborne Wind Energy Systems
  • Maximizing Vehicle Fuel Economy Through the Real-Time, Collaborative, and Predictive Co-Optimization of Routing, Speed, and Powertrain Control
  • Device Design and Robust Periodic Motion Control of an Ocean Kite System for Hydrokinetic Energy Harvesting
Chris Vermillion