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.


Pareto Optimal and Dual-Objective Geometric and Structural Design of an Underwater Kite for Closed-Loop Flight Performance
Naik, K., Beknalkar, S., Reed, J., Mazzoleni, A., Fathy, H., & Vermillion, C. (2023), JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 145(1).
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.
A low-order wake interaction modeling framework for the performance of ocean current turbines under turbulent conditions
Razi, P., Ramaprabhu, P., Tarey, P., Muglia, M., & Vermillion, C. (2022), RENEWABLE ENERGY, 200, 1602–1617.
An Analytic Solution to the Inverse Dynamics of an Energy Harvesting Tethered Kite
Bhattacharjee, D., Tiburcio, M. A., Opila, D. F., Vermillion, C., & Fathy, H. K. (2022), JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 144(11).
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, 144(7).
Closed-Loop-Flight-Based Combined Geometric and Structural Wing Design Optimization Framework for a Marine Hydrokinetic Energy Kite
Beknalkar, S., Naik, K., Vermillion, C., & Mazzoleni, A. (2022), 2022 OCEANS HAMPTON ROADS.
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.
Drag-Mitigating Dynamic Flight Path Design for an Ultra-Long Tether Underwater Kite
Abney, A., & Vermillion, C. (2022), IFAC PAPERSONLINE, Vol. 55, pp. 151–157.
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.
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, 144(4).

View all publications via NC State Libraries


  • 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