Model predictive control allocation for overactuated systems - stability and performance. - Christopher Vermillion; Jing Sun 003; Kenneth R. Butts (CDC, 2007)

Performance enhancement of modular control systems using µ synthesis. - Christopher Vermillion; Jing Sun 003; Kenneth R. Butts (CDC, 2008)

Model predictive control allocation - Design and experimental results on a thermal management system. - Chris Vermillion; Jing Sun 003; Ken Butts (ACC, 2009)

Modeling, Control Design, and Experimental Validation of an Overactuated Thermal Management System for Engine Dynamometer Applications. - Christopher Vermillion; Jing Sun 003; Kenneth R. Butts (IEEE Trans. Control. Syst. Technol., 2009)

A comparative analysis of electronic pedal algorithms using a driver-in-the-loop simulator and system identification of driver behavior. - Ryan Boris; Chris Vermillion; Ken Butts (ACC, 2010)

Model predictive engine torque control with real-time driver-in-the-loop simulation results. - Chris Vermillion; Ken Butts; Kevin Reidy (ACC, 2010)

Predictive Control Allocation for a Thermal Management System Based on an Inner Loop Reference Model - Design, Analysis, and Experimental Results. - Christopher Vermillion; Jing Sun 003; Kenneth R. Butts (IEEE Trans. Control. Syst. Technol., 2011)

Modeling and control design for a prototype lighter-than-air wind energy system. - Chris Vermillion; Trey Grunnagle; Ilya V. Kolmanovsky (ACC, 2012)

Reference governor design for computationally efficient attitude and tether tension constraint enforcement on a lighter-than-air wind energy system. - Uros Kalabic; Chris Vermillion; Ilya V. Kolmanovsky (ECC, 2013)

Stable hierarchical model predictive control using an inner loop reference model and lambda-contractive terminal constraint sets. - Chris Vermillion; Amor A. Menezes; Ilya V. Kolmanovsky (Autom., 2014)

Model-Based Plant Design and Hierarchical Control of a Prototype Lighter-Than-Air Wind Energy System, With Experimental Flight Test Results. - Chris Vermillion; Trey Grunnagle; Ronny Salim Lim; Ilya V. Kolmanovsky (IEEE Trans. Control. Syst. Technol., 2014)

A case study in experimentally-infused plant and controller optimization for airborne wind energy systems. - Nihar Deodhar; Chris Vermillion; Peter T. Tkacik (ACC, 2015)

Real-time altitude optimization of airborne wind energy systems using Lyapunov-based switched extremum seeking control. - Alireza Bafandeh; Chris Vermillion (ACC, 2016)

Combined plant and controller performance analysis and optimization for an energy-harvesting tethered wing. - Parvin NikpoorParizi; Nihar Deodhar; Christopher Vermillion (ACC, 2016)

Spatio-temporal optimization through model predictive control: A case study in airborne wind energy. - Shamir Bin-Karim; Alireza Bafandeh; Christopher Vermillion (CDC, 2016)

Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach. - Ali Baheri; Christopher Vermillion (ACC, 2017)

Insights from an experimental study on the crosswind flight of a lab-scale buoyant air turbine. - Michelle A. Kehs; Mitchell Cobb; Hosam K. Fathy; Chris Vermillion (ACC, 2017)

Fused local-global control of spatiotemporally-varying systems: A case study in airborne wind energy. - Alireza Bafandeh; Shamir Bin-Karim; Chris Vermillion (CCTA, 2017)

Iterative learning-based waypoint optimization for repetitive path planning, with application to airborne wind energy systems. - Mitchell Cobb; Kira Barton; Hosam K. Fathy; Chris Vermillion (CDC, 2017)

Altitude Optimization of Airborne Wind Energy Systems via Switched Extremum Seeking - Design, Analysis, and Economic Assessment. - Alireza Bafandeh; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2017)

Control of a Relocatable Energy-Harvesting Autonomous Underwater Vehicle in a Spatiotemporally-Varying Gulf Stream Resource. - Shamir Bin-Karim; Mike Muglia; Andre Mazzoleni; Christopher Vermillion (ACC, 2018)

A Comparative Assessment of Economic Model Predictive Control Strategies for Fuel Economy Optimization of Heavy-Duty Trucks. - Ben Groelke; John Borek; Christian Earnhardt; Jian Li; Stephen Geyer; Chris Vermillion (ACC, 2018)

Optimal Altitude Control of an Integrated Airborne Wind Energy System with Globalized Lyapunov-based Switched Extremum Seeking. - Alireza Bafandeh; Chris Vermillion (ECC, 2018)

Online Energy Maximization of an Airborne Wind Energy Turbine in Simulated Periodic Flight. - Michelle A. Kehs; Chris Vermillion; Hosam K. Fathy (IEEE Trans. Control. Syst. Technol., 2018)

Modeling, Control Design, and Combined Plant/Controller Optimization for an Energy-Harvesting Tethered Wing. - Parvin NikpoorParizi; Nihar Deodhar; Christopher Vermillion (IEEE Trans. Control. Syst. Technol., 2018)

Optimal Control of Heavy-duty Trucks in Urban Environments Through Fused Model Predictive Control and Adaptive Cruise Control. - John Borek; Ben Groelke; Christian Earnhardt; Chris Vermillion (ACC, 2019)

An Iterative Learning Approach for Online Flight Path Optimization for Tethered Energy Systems Undergoing Cyclic Spooling Motion. - Mitchell Cobb; Kira Barton; Hosam K. Fathy; Chris Vermillion (ACC, 2019)

On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems. - Laurel N. Dunn; Christopher Vermillion; Fotini K. Chow; Scott J. Moura (ACC, 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. - Shamir Bin-Karim; Michael Muglia; Christopher Vermillion (CCTA, 2019)

Recursive Gaussian Process-based Adaptive Control: Theoretical Framework and Application to an Airborne Wind Energy System. - Joe Deese; Chris Vermillion (CCTA, 2019)

Flexible-Time Economic Iterative Learning Control: A Case Study in Airborne Wind Energy. - Mitchell Cobb; Maxwell Wu; Kira Barton; Chris Vermillion (CDC, 2019)

Reference governors for chance-constrained systems. - Uros V. Kalabic; Nan I. Li; Christopher Vermillion; Ilya V. Kolmanovsky (Autom., 2019)

Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study. - Ali Baheri; Chris Vermillion (CoRR, 2019)

Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy. - Shamir Bin-Karim; Alireza Bafandeh; Ali Baheri; Christopher Vermillion (IEEE Trans. Control. Syst. Technol., 2019)

Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. - Ali Baheri; Chris Vermillion (ACC, 2020)

Optimal Exploration and Charging for an Autonomous Underwater Vehicle with Energy-Harvesting Kite. - James Reed; Joshua Daniels; Ayaz Siddiqui; Mitchell Cobb; Chris Vermillion (ACC, 2020)

Serious Sailing: Time-Optimal Control of Sailing Drones in Stochastic, Spatiotemporally Varying Wind Fields. - Blake Shepherd; Ben Haydon; Chris Vermillion (ACC, 2020)

A Flexible-Time Iterative Learning Control Framework for Linear, Time-Based Performance Objectives. - Maxwell J. Wu; Mitchell Cobb; Chris Vermillion; Kira Barton (ACC, 2020)

Real-Time Experimental Optimization of Closed-Loop Crosswind Flight of Airborne Wind Energy Systems via Recursive Gaussian Process-based Adaptive Control. - Joe Deese; Chris Vermillion (CCTA, 2020)

Economic Optimal Control for Minimizing Fuel Consumption of Heavy-Duty Trucks in a Highway Environment. - John Borek; Ben Groelke; Christian Earnhardt; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2020)

Iterative Learning-Based Path Optimization for Repetitive Path Planning, With Application to 3-D Crosswind Flight of Airborne Wind Energy Systems. - Mitchell Cobb; Kira Barton; Hosam K. Fathy; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2020)

Determining the Region of Influence of a Signalized Traffic Intersection by Analysis of Heavy-duty Diesel Vehicle Fuel Consumption. - Wushuang Bai; John Borek; Liming Gao; Chris Vermillion; Sean Brennan 001 (ACC, 2021)

Fused Geometric, Structural, and Control Co-Design Framework for an Energy-Harvesting Ocean Kite. - Kartik Naik; Sumedh Beknalkar; Andre Mazzoleni; Chris Vermillion (ACC, 2021)

Optimal Cyclic Control of an Ocean Kite System in a Spatiotemporally Varying Flow Environment. - James Reed; Joshua Daniels; Ayaz Siddiqui; Mitchell Cobb; Michael Muglia; Chris Vermillion (ACC, 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. - Ayaz Siddiqui; Ben Haydon; Chris Vermillion (ACC, 2021)

A Vector Auto-Regression Based Forecast of Wind Speeds in Airborne Wind Energy Systems. - Patrick Keyantuo; Laurel N. Dunn; Ben Haydon; Christopher Vermillion; Fotini K. Chow; Scott J. Moura (CCTA, 2021)

Dynamic Coverage Meets Regret: Unifying Two Control Performance Measures for Mobile Agents in Spatiotemporally Varying Environments. - Ben Haydon; Kirti D. Mishra; Patrick Keyantuo; Dimitra Panagou; Fotini K. Chow; Scott J. Moura; Chris Vermillion (CDC, 2021)

Hierarchical Structures for Economic Repetitive Control. - Kirti D. Mishra; James Reed; Maxwell Wu; Kira Barton; Chris Vermillion (CDC, 2021)

Library-Based Norm-Optimal Iterative Learning Control. - James Reed; Maxwell Wu; Kira Barton; Chris Vermillion; Kirti D. Mishra (CDC, 2021)

Point-to-Point Repetitive Control with Optimal Tracking Time. - Maxwell Wu; Chris Vermillion; Kira Barton (CDC, 2021)

An Integrated Model of the Kite and Tether Dynamics of a Marine Hydrokinetic Energy Harvesting System. - Miguel Alvarez; Debapriya Bhattacharjee; Chris Vermillion; Hosam K. Fathy (ECC, 2021)

Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems. - Chris Vermillion; Mitchell Cobb; Lorenzo Fagiano; Rachel Leuthold; Moritz Diehl; Roy S. Smith; Tony A. Wood; Sebastian Rapp; Roland Schmehl; David J. Olinger; Michael A. Demetriou (Annu. Rev. Control., 2021)

Receding Horizon Iterative Learning Control for Continuously Operated Systems. - Maxwell Wu; Mitchell Cobb; James Reed; Kirti D. Mishra; Chris Vermillion; Kira Barton (CoRR, 2021)

Recursive Gaussian Process-Based Adaptive Control, With Application to a Lighter-Than-Air Wind Energy System. - Joe Deese; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2021)

Coverage-Maximizing Solar-Powered Autonomous Surface Vehicle Control for Persistent Gulf Stream Observation. - Kavin Govindarajan; Ben Haydon; Kirti D. Mishra; Chris Vermillion (ACC, 2022)

Sensor Fusion Observer Design and Experimental Validation for an Underwater Kite. - Zak Leonard; Samuel Bryant; Kartik Naik; Andrew Abney; Dillon Herbert; Hosam K. Fathy; Kenneth Granlund; Andre Mazzoleni; Matthew Bryant; Chris Vermillion (ACC, 2022)

Predictive Control of a Morphing Energy-Harvesting Kite. - Jacob B. Fine; James Reed; Kartik Naik; Chris Vermillion (CCTA, 2022)

Combined Plant and Controller Optimization of an Underwater Energy Harvesting Kite System. - Kartik Naik; Sumedh Beknalkar; James Reed; Andre Mazzoleni; Hosam K. Fathy; Chris Vermillion (CoRR, 2022)

Iterative Learning-Based Path Optimization With Application to Marine Hydrokinetic Energy Systems. - Mitchell Cobb; James Reed; Joshua Daniels; Ayaz Siddiqui; Maxwell Wu; Hosam K. Fathy; Kira Barton; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2022)

Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems. - Mitchell Cobb; James Reed; Maxwell Wu; Kirti D. Mishra; Kira Barton; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2022)

Hierarchical Control of Heavy-Duty Trucks Through Signalized Intersections With Non-Deterministic Signal Timing. - John Borek; Ben Groelke; Christian Earnhardt; Chris Vermillion (IEEE Trans. Intell. Transp. Syst., 2022)

Cooperative Exchange-Based Platooning Using Predicted Fuel-Optimal Operation of Heavy-Duty Vehicles. - Christian Earnhardt; Ben Groelke; John Borek; Evan Pelletier; Sean Brennan 001; Chris Vermillion (IEEE Trans. Intell. Transp. Syst., 2022)

Hierarchical Model Predictive Control Approaches for Strategic Platoon Engagement of Heavy-Duty Trucks. - Christian Earnhardt; Ben Groelke; John Borek; Chris Vermillion (IEEE Trans. Intell. Transp. Syst., 2022)

A Predictive Command Governor-Based Adaptive Cruise Controller With Collision Avoidance for Non-Connected Vehicle Following. - Ben Groelke; Christian Earnhardt; John Borek; Chris Vermillion (IEEE Trans. Intell. Transp. Syst., 2022)

Optimal Cyclic Control of a Structurally Constrained Span-Morphing Underwater Kite in a Spatiotemporally Varying Flow. - Jacob B. Fine; Carson M. McGuire; James Reed; Matthew Bryant; Chris Vermillion (ACC, 2023)

Predictive Velocity Trajectory Control for a Persistently Operating Solar-Powered Autonomous Surface Vessel. - Kavin Govindarajan; Ben Haydon; Chris Vermillion (ACC, 2023)

Economic Cyclic Learning for Longitudinal Control of an Airborne Wind Energy System. - James Reed; Chris Vermillion (CCTA, 2023)

Game Theoretic Wind Farm Control Based on Level-k Cognitive Modeling. - Maxwell Wu; Chris Vermillion; Kira Barton (CCTA, 2023)

A Fused Gaussian Process Modeling and Model Predictive Control Framework for Real-Time Path Adaptation of an Airborne Wind Energy System. - Ayaz Siddiqui; John Borek; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2023)

Stability and Performance of an Undersea Kite Operating in a Turbulent Flow Field. - James Reed; Andrew Abney; Kirti D. Mishra; Kartik Naik; Edmon Perkins; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2023)

Recursive Gaussian Process-Based Adaptive Control of a Ducted Kite System for Tidal Energy Harvesting. - Ayaz Siddiqui; Joe Deese; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2023)

Eclares: Energy-Aware Clarity-Driven Ergodic Search. - Kaleb Ben Naveed; Devansh Agrawal; Christopher Vermillion; Dimitra Panagou (ICRA, 2024)

Persistent Mission Planning of an Energy-Harvesting Autonomous Underwater Vehicle for Gulf Stream Characterization. - Benjamin Haydon; James Reed; Christopher Vermillion (IEEE Trans. Control. Syst. Technol., 2024)

Experimental Validation of an Iterative Learning-Based Flight Trajectory Optimizer for an Underwater Kite. - James Reed; Kartik Naik; Andrew Abney; Dillon Herbert; Jacob B. Fine; Ashwin Vadlamannati; James Morris; Trip Taylor; Michael Muglia; Kenneth Granlund; Matthew Bryant; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2024)

Fusion of Indirect Methods and Iterative Learning for Persistent Velocity Trajectory Optimization of a Sustainably Powered Autonomous Surface Vessel. - Kavin Govindarajan; Devansh R. Agrawal; Dimitra Panagou; Chris Vermillion (CoRR, 2025)

Optimal Cyclic Control of a Structurally Constrained Morphing Energy-Harvesting Kite Using an Experimentally Validated Simulation Model. - Jacob B. Fine; Carson M. McGuire; Vinson O. Williams; Michael Jenkins; Hannah McDaniel; Maya Keele; Matthew Bryant; Ashok Gopalarathnam; Chris Vermillion (IEEE Trans. Control. Syst. Technol., 2025)