Christopher Vermillion

Orcid: 0000-0001-9481-6956

According to our database1, Christopher Vermillion authored at least 73 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Persistent Mission Planning of an Energy-Harvesting Autonomous Underwater Vehicle for Gulf Stream Characterization.
IEEE Trans. Control. Syst. Technol., March, 2024

2023
Recursive Gaussian Process-Based Adaptive Control of a Ducted Kite System for Tidal Energy Harvesting.
IEEE Trans. Control. Syst. Technol., July, 2023

Stability and Performance of an Undersea Kite Operating in a Turbulent Flow Field.
IEEE Trans. Control. Syst. Technol., July, 2023

A Fused Gaussian Process Modeling and Model Predictive Control Framework for Real-Time Path Adaptation of an Airborne Wind Energy System.
IEEE Trans. Control. Syst. Technol., 2023

Eclares: Energy-Aware Clarity-Driven Ergodic Search.
CoRR, 2023

Game Theoretic Wind Farm Control Based on Level-k Cognitive Modeling.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Economic Cyclic Learning for Longitudinal Control of an Airborne Wind Energy System.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Predictive Velocity Trajectory Control for a Persistently Operating Solar-Powered Autonomous Surface Vessel.
Proceedings of the American Control Conference, 2023

Optimal Cyclic Control of a Structurally Constrained Span-Morphing Underwater Kite in a Spatiotemporally Varying Flow.
Proceedings of the American Control Conference, 2023

2022
A Predictive Command Governor-Based Adaptive Cruise Controller With Collision Avoidance for Non-Connected Vehicle Following.
IEEE Trans. Intell. Transp. Syst., 2022

Hierarchical Model Predictive Control Approaches for Strategic Platoon Engagement of Heavy-Duty Trucks.
IEEE Trans. Intell. Transp. Syst., 2022

Cooperative Exchange-Based Platooning Using Predicted Fuel-Optimal Operation of Heavy-Duty Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Hierarchical Control of Heavy-Duty Trucks Through Signalized Intersections With Non-Deterministic Signal Timing.
IEEE Trans. Intell. Transp. Syst., 2022

Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems.
IEEE Trans. Control. Syst. Technol., 2022

Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems.
IEEE Trans. Control. Syst. Technol., 2022

Combined Plant and Controller Optimization of an Underwater Energy Harvesting Kite System.
CoRR, 2022

Predictive Control of a Morphing Energy-Harvesting Kite.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Sensor Fusion Observer Design and Experimental Validation for an Underwater Kite.
Proceedings of the American Control Conference, 2022

Coverage-Maximizing Solar-Powered Autonomous Surface Vehicle Control for Persistent Gulf Stream Observation.
Proceedings of the American Control Conference, 2022

2021
Recursive Gaussian Process-Based Adaptive Control, With Application to a Lighter-Than-Air Wind Energy System.
IEEE Trans. Control. Syst. Technol., 2021

Receding Horizon Iterative Learning Control for Continuously Operated Systems.
CoRR, 2021

Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems.
Annu. Rev. Control., 2021

An Integrated Model of the Kite and Tether Dynamics of a Marine Hydrokinetic Energy Harvesting System.
Proceedings of the 2021 European Control Conference, 2021

Point-to-Point Repetitive Control with Optimal Tracking Time.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Library-Based Norm-Optimal Iterative Learning Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Hierarchical Structures for Economic Repetitive Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Dynamic Coverage Meets Regret: Unifying Two Control Performance Measures for Mobile Agents in Spatiotemporally Varying Environments.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Vector Auto-Regression Based Forecast of Wind Speeds in Airborne Wind Energy Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

A Gaussian Process-Based Receding Horizon Adaptive Control Strategy for Energy-Efficient Exploration of Spatiotemporally Varying Environments, with Application to Airborne Wind Energy Systems.
Proceedings of the 2021 American Control Conference, 2021

Optimal Cyclic Control of an Ocean Kite System in a Spatiotemporally Varying Flow Environment.
Proceedings of the 2021 American Control Conference, 2021

Fused Geometric, Structural, and Control Co-Design Framework for an Energy-Harvesting Ocean Kite.
Proceedings of the 2021 American Control Conference, 2021

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, 2021

2020
Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems.
IEEE Trans. Control. Syst. Technol., 2020

Economic Optimal Control for Minimizing Fuel Consumption of Heavy-Duty Trucks in a Highway Environment.
IEEE Trans. Control. Syst. Technol., 2020

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, 2020

A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives.
Proceedings of the 2020 American Control Conference, 2020

Serious Sailing: Time-Optimal Control of Sailing Drones in Stochastic, Spatiotemporally Varying Wind Fields.
Proceedings of the 2020 American Control Conference, 2020

Optimal Exploration and Charging for an Autonomous Underwater Vehicle with Energy-Harvesting Kite.
Proceedings of the 2020 American Control Conference, 2020

Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems.
Proceedings of the 2020 American Control Conference, 2020

2019
Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy.
IEEE Trans. Control. Syst. Technol., 2019

Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study.
CoRR, 2019

Reference governors for chance-constrained systems.
Autom., 2019

Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Recursive Gaussian Process-based Adaptive Control: Theoretical Framework and Application to an Airborne Wind Energy System.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 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.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems.
Proceedings of the 2019 American Control Conference, 2019

An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion.
Proceedings of the 2019 American Control Conference, 2019

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, 2019

2018
Modeling, Control Design, and Combined Plant/Controller Optimization for an Energy-Harvesting Tethered Wing.
IEEE Trans. Control. Syst. Technol., 2018

Online Energy Maximization of an Airborne Wind Energy Turbine in Simulated Periodic Flight.
IEEE Trans. Control. Syst. Technol., 2018

Optimal Altitude Control of an Integrated Airborne Wind Energy System with Globalized Lyapunov-based Switched Extremum Seeking.
Proceedings of the 16th European Control Conference, 2018

A Comparative Assessment of Economic Model Predictive Control Strategies for Fuel Economy Optimization of Heavy-Duty Trucks.
Proceedings of the 2018 Annual American Control Conference, 2018

Control of a Relocatable Energy-Harvesting Autonomous Underwater Vehicle in a Spatiotemporally-Varying Gulf Stream Resource.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Altitude Optimization of Airborne Wind Energy Systems via Switched Extremum Seeking - Design, Analysis, and Economic Assessment.
IEEE Trans. Control. Syst. Technol., 2017

Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Fused local-global control of spatiotemporally-varying systems: A case study in airborne wind energy.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Insights from an experimental study on the crosswind flight of a lab-scale buoyant air turbine.
Proceedings of the 2017 American Control Conference, 2017

Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach.
Proceedings of the 2017 American Control Conference, 2017

2016
Spatio-temporal optimization through model predictive control: A case study in airborne wind energy.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Combined plant and controller performance analysis and optimization for an energy-harvesting tethered wing.
Proceedings of the 2016 American Control Conference, 2016

Real-time altitude optimization of airborne wind energy systems using Lyapunov-based switched extremum seeking control.
Proceedings of the 2016 American Control Conference, 2016

2015
A case study in experimentally-infused plant and controller optimization for airborne wind energy systems.
Proceedings of the American Control Conference, 2015

2014
Model-Based Plant Design and Hierarchical Control of a Prototype Lighter-Than-Air Wind Energy System, With Experimental Flight Test Results.
IEEE Trans. Control. Syst. Technol., 2014

Stable hierarchical model predictive control using an inner loop reference model and lambda-contractive terminal constraint sets.
Autom., 2014

2013
Reference governor design for computationally efficient attitude and tether tension constraint enforcement on a lighter-than-air wind energy system.
Proceedings of the 12th European Control Conference, 2013

2012
Modeling and control design for a prototype lighter-than-air wind energy system.
Proceedings of the American Control Conference, 2012

2011
Predictive Control Allocation for a Thermal Management System Based on an Inner Loop Reference Model - Design, Analysis, and Experimental Results.
IEEE Trans. Control. Syst. Technol., 2011

2010
Model predictive engine torque control with real-time driver-in-the-loop simulation results.
Proceedings of the American Control Conference, 2010

A comparative analysis of electronic pedal algorithms using a driver-in-the-loop simulator and system identification of driver behavior.
Proceedings of the American Control Conference, 2010

2009
Modeling, Control Design, and Experimental Validation of an Overactuated Thermal Management System for Engine Dynamometer Applications.
IEEE Trans. Control. Syst. Technol., 2009

Model predictive control allocation - Design and experimental results on a thermal management system.
Proceedings of the American Control Conference, 2009

2008
Performance enhancement of modular control systems using µ synthesis.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Model predictive control allocation for overactuated systems - stability and performance.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007


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