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You searched for +publisher:"University of Michigan" +contributor:("Kolmanovsky, Ilya Vladimir"). Showing records 1 – 30 of 72 total matches.

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University of Michigan

1. Li, Shifang. Distributed Supervisory Controller Design for Battery Swapping Modularity in Plug-in Hybrid Electric Vehicles.

Degree: PhD, Mechanical Engineering, 2011, University of Michigan

 As industry strives to standardize engineering design, manufacturing, and maintenance processes, the focus on achieving component modularity is increasing. Component swapping modularity (CSM) in control… (more)

Subjects/Keywords: Component Swapping Modularity; Distributed Control; Networked Control Systems; Plug-in Hybrid Electric Vehicle; Mechanical Engineering; Engineering

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APA (6th Edition):

Li, S. (2011). Distributed Supervisory Controller Design for Battery Swapping Modularity in Plug-in Hybrid Electric Vehicles. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86264

Chicago Manual of Style (16th Edition):

Li, Shifang. “Distributed Supervisory Controller Design for Battery Swapping Modularity in Plug-in Hybrid Electric Vehicles.” 2011. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/86264.

MLA Handbook (7th Edition):

Li, Shifang. “Distributed Supervisory Controller Design for Battery Swapping Modularity in Plug-in Hybrid Electric Vehicles.” 2011. Web. 03 Dec 2020.

Vancouver:

Li S. Distributed Supervisory Controller Design for Battery Swapping Modularity in Plug-in Hybrid Electric Vehicles. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/86264.

Council of Science Editors:

Li S. Distributed Supervisory Controller Design for Battery Swapping Modularity in Plug-in Hybrid Electric Vehicles. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86264


University of Michigan

2. Yu, Ming-Jui. Retrospective Cost Methods for Combined State and Parameter Estimation.

Degree: PhD, Aerospace Engineering, 2017, University of Michigan

 This dissertation is principally concerned with the combined state and parameter estimation problem, where the goal is to estimate the state of a discrete-time, linear… (more)

Subjects/Keywords: Parameter Estimation; Aerospace Engineering; Engineering

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APA (6th Edition):

Yu, M. (2017). Retrospective Cost Methods for Combined State and Parameter Estimation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138515

Chicago Manual of Style (16th Edition):

Yu, Ming-Jui. “Retrospective Cost Methods for Combined State and Parameter Estimation.” 2017. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/138515.

MLA Handbook (7th Edition):

Yu, Ming-Jui. “Retrospective Cost Methods for Combined State and Parameter Estimation.” 2017. Web. 03 Dec 2020.

Vancouver:

Yu M. Retrospective Cost Methods for Combined State and Parameter Estimation. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/138515.

Council of Science Editors:

Yu M. Retrospective Cost Methods for Combined State and Parameter Estimation. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138515


University of Michigan

3. Maldonado Puente, Bryan. Stochastic Analysis and Control of EGR-Diluted Combustion in Spark Ignition Engines at Nominal and Misfire-Limited Conditions.

Degree: PhD, Mechanical Engineering, 2019, University of Michigan

 Worldwide regulations on greenhouse gas emissions demand a reduction in fuel consumption from the transportation sector. This reduction requires incremental improvements in engine and powertrain… (more)

Subjects/Keywords: Combustion Control; Internal Combustion Engines; Mechanical Engineering; Engineering

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APA (6th Edition):

Maldonado Puente, B. (2019). Stochastic Analysis and Control of EGR-Diluted Combustion in Spark Ignition Engines at Nominal and Misfire-Limited Conditions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153464

Chicago Manual of Style (16th Edition):

Maldonado Puente, Bryan. “Stochastic Analysis and Control of EGR-Diluted Combustion in Spark Ignition Engines at Nominal and Misfire-Limited Conditions.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/153464.

MLA Handbook (7th Edition):

Maldonado Puente, Bryan. “Stochastic Analysis and Control of EGR-Diluted Combustion in Spark Ignition Engines at Nominal and Misfire-Limited Conditions.” 2019. Web. 03 Dec 2020.

Vancouver:

Maldonado Puente B. Stochastic Analysis and Control of EGR-Diluted Combustion in Spark Ignition Engines at Nominal and Misfire-Limited Conditions. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/153464.

Council of Science Editors:

Maldonado Puente B. Stochastic Analysis and Control of EGR-Diluted Combustion in Spark Ignition Engines at Nominal and Misfire-Limited Conditions. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153464


University of Michigan

4. Zidek, Robert Alfons Erich. Drift Counteraction Optimal Control: Theory and Applications to Autonomous Cars and Spacecraft.

Degree: PhD, Aerospace Engineering, 2017, University of Michigan

 Many engineering systems are subject to persistent disturbances or dynamics that cause the process variables to drift. This dissertation studies the problem of how to… (more)

Subjects/Keywords: Optimal Control; Spacecraft Control; Automated / Autonomous Driving; Aerospace Engineering; Engineering

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APA (6th Edition):

Zidek, R. A. E. (2017). Drift Counteraction Optimal Control: Theory and Applications to Autonomous Cars and Spacecraft. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140864

Chicago Manual of Style (16th Edition):

Zidek, Robert Alfons Erich. “Drift Counteraction Optimal Control: Theory and Applications to Autonomous Cars and Spacecraft.” 2017. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/140864.

MLA Handbook (7th Edition):

Zidek, Robert Alfons Erich. “Drift Counteraction Optimal Control: Theory and Applications to Autonomous Cars and Spacecraft.” 2017. Web. 03 Dec 2020.

Vancouver:

Zidek RAE. Drift Counteraction Optimal Control: Theory and Applications to Autonomous Cars and Spacecraft. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/140864.

Council of Science Editors:

Zidek RAE. Drift Counteraction Optimal Control: Theory and Applications to Autonomous Cars and Spacecraft. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140864


University of Michigan

5. Li, Xingyu. Intelligent Operation System for the Autonomous Vehicle Fleet.

Degree: PhD, Mechanical Engineering, 2018, University of Michigan

 Modular vehicles are vehicles with interchangeable substantial components also known as modules. Fleet modularity provides extra operational flexibility through on-field actions, in terms of vehicle… (more)

Subjects/Keywords: Operation Research; Optimization; System Dynamics; Artificial Intelligence; Mechanical Engineering; Engineering

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APA (6th Edition):

Li, X. (2018). Intelligent Operation System for the Autonomous Vehicle Fleet. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/147588

Chicago Manual of Style (16th Edition):

Li, Xingyu. “Intelligent Operation System for the Autonomous Vehicle Fleet.” 2018. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/147588.

MLA Handbook (7th Edition):

Li, Xingyu. “Intelligent Operation System for the Autonomous Vehicle Fleet.” 2018. Web. 03 Dec 2020.

Vancouver:

Li X. Intelligent Operation System for the Autonomous Vehicle Fleet. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/147588.

Council of Science Editors:

Li X. Intelligent Operation System for the Autonomous Vehicle Fleet. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/147588


University of Michigan

6. Hou, Jun. Control and Optimization of Electric Ship Propulsion Systems with Hybrid Energy Storage.

Degree: PhD, Electrical Engineering: Systems, 2017, University of Michigan

 Electric ships experience large propulsion-load fluctuations on their drive shaft due to encountered waves and the rotational motion of the propeller, affecting the reliability of… (more)

Subjects/Keywords: All-electric Ships; Model Predictive Control; Hybrid Energy Storage; Load Fluctuation Mitigation; Real-time Optimization; Energy Management System; Electrical Engineering; Engineering

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APA (6th Edition):

Hou, J. (2017). Control and Optimization of Electric Ship Propulsion Systems with Hybrid Energy Storage. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140790

Chicago Manual of Style (16th Edition):

Hou, Jun. “Control and Optimization of Electric Ship Propulsion Systems with Hybrid Energy Storage.” 2017. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/140790.

MLA Handbook (7th Edition):

Hou, Jun. “Control and Optimization of Electric Ship Propulsion Systems with Hybrid Energy Storage.” 2017. Web. 03 Dec 2020.

Vancouver:

Hou J. Control and Optimization of Electric Ship Propulsion Systems with Hybrid Energy Storage. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/140790.

Council of Science Editors:

Hou J. Control and Optimization of Electric Ship Propulsion Systems with Hybrid Energy Storage. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140790


University of Michigan

7. Wang, Hao. Model Predictive Climate Control for Connected and Automated Vehicles.

Degree: PhD, Naval Architecture & Marine Engineering, 2019, University of Michigan

 Emerging connected and automated vehicle (CAV) technologies are improving vehicle safety and energy efficiency to the next level and creating unprecedented opportunities and challenges for… (more)

Subjects/Keywords: model predictive climate control; connected and automated vehicle; energy and comfort optimization; vehicle thermal management; Naval Architecture and Marine Engineering; Engineering

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APA (6th Edition):

Wang, H. (2019). Model Predictive Climate Control for Connected and Automated Vehicles. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153481

Chicago Manual of Style (16th Edition):

Wang, Hao. “Model Predictive Climate Control for Connected and Automated Vehicles.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/153481.

MLA Handbook (7th Edition):

Wang, Hao. “Model Predictive Climate Control for Connected and Automated Vehicles.” 2019. Web. 03 Dec 2020.

Vancouver:

Wang H. Model Predictive Climate Control for Connected and Automated Vehicles. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/153481.

Council of Science Editors:

Wang H. Model Predictive Climate Control for Connected and Automated Vehicles. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153481


University of Michigan

8. Caverly, Ryan. Optimal Output Modification and Robust Control Using Minimum Gain and the Large Gain Theorem.

Degree: PhD, Aerospace Engineering, 2018, University of Michigan

 When confronted with a control problem, the input-output properties of the system to be controlled play an important role in determining strategies that can or… (more)

Subjects/Keywords: robust control; optimal output modification; parallel feedforward control; Large Gain Theorem; nonminimum phase zeros; LMIs; Aerospace Engineering; Engineering

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APA (6th Edition):

Caverly, R. (2018). Optimal Output Modification and Robust Control Using Minimum Gain and the Large Gain Theorem. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143934

Chicago Manual of Style (16th Edition):

Caverly, Ryan. “Optimal Output Modification and Robust Control Using Minimum Gain and the Large Gain Theorem.” 2018. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/143934.

MLA Handbook (7th Edition):

Caverly, Ryan. “Optimal Output Modification and Robust Control Using Minimum Gain and the Large Gain Theorem.” 2018. Web. 03 Dec 2020.

Vancouver:

Caverly R. Optimal Output Modification and Robust Control Using Minimum Gain and the Large Gain Theorem. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/143934.

Council of Science Editors:

Caverly R. Optimal Output Modification and Robust Control Using Minimum Gain and the Large Gain Theorem. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143934


University of Michigan

9. Pang, Zi Yang. Modeling, Simulation and Control of Very Flexible Unmanned Aerial Vehicle.

Degree: PhD, Aerospace Engineering, 2018, University of Michigan

 This dissertation presents research on modeling, simulation and control of very flexible aircraft. This work includes theoretical and numerical developments, as well as experimental validations.… (more)

Subjects/Keywords: Very flexible aircraft; aeroelasticity; model predictive control; deformation measurement; flight test; Aerospace Engineering; Engineering

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APA (6th Edition):

Pang, Z. Y. (2018). Modeling, Simulation and Control of Very Flexible Unmanned Aerial Vehicle. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/144019

Chicago Manual of Style (16th Edition):

Pang, Zi Yang. “Modeling, Simulation and Control of Very Flexible Unmanned Aerial Vehicle.” 2018. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/144019.

MLA Handbook (7th Edition):

Pang, Zi Yang. “Modeling, Simulation and Control of Very Flexible Unmanned Aerial Vehicle.” 2018. Web. 03 Dec 2020.

Vancouver:

Pang ZY. Modeling, Simulation and Control of Very Flexible Unmanned Aerial Vehicle. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/144019.

Council of Science Editors:

Pang ZY. Modeling, Simulation and Control of Very Flexible Unmanned Aerial Vehicle. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/144019


University of Michigan

10. Choroszucha, Richard. Control and Estimation Oriented Model Order Reduction for Linear and Nonlinear Systems.

Degree: PhD, Naval Architecture & Marine Engineering, 2017, University of Michigan

 Optimization based controls are advantageous in meeting stringent performance requirements and accommodating constraints. Although computers are becoming more powerful, solving optimization problems in real-time remains… (more)

Subjects/Keywords: Model Order Reduction; Naval Architecture and Marine Engineering; Engineering

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APA (6th Edition):

Choroszucha, R. (2017). Control and Estimation Oriented Model Order Reduction for Linear and Nonlinear Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140839

Chicago Manual of Style (16th Edition):

Choroszucha, Richard. “Control and Estimation Oriented Model Order Reduction for Linear and Nonlinear Systems.” 2017. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/140839.

MLA Handbook (7th Edition):

Choroszucha, Richard. “Control and Estimation Oriented Model Order Reduction for Linear and Nonlinear Systems.” 2017. Web. 03 Dec 2020.

Vancouver:

Choroszucha R. Control and Estimation Oriented Model Order Reduction for Linear and Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/140839.

Council of Science Editors:

Choroszucha R. Control and Estimation Oriented Model Order Reduction for Linear and Nonlinear Systems. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140839


University of Michigan

11. Goshtasbi, Alireza. Modeling, Parameter Identification, and Degradation-Conscious Control of Polymer Electrolyte Membrane (PEM) Fuel Cells.

Degree: PhD, Mechanical Engineering, 2019, University of Michigan

 Polymer electrolyte membrane (PEM) fuel cells are touted as zero-emission alternatives to internal combustion engines for automotive applications. However, high cost and durability issues have… (more)

Subjects/Keywords: fuel cell; computationally efficient model; fuel cell water and heat management; parameter identification; optimal experimental design; degradation mitigation; Chemical Engineering; Engineering (General); Mechanical Engineering; Transportation; Engineering

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APA (6th Edition):

Goshtasbi, A. (2019). Modeling, Parameter Identification, and Degradation-Conscious Control of Polymer Electrolyte Membrane (PEM) Fuel Cells. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155288

Chicago Manual of Style (16th Edition):

Goshtasbi, Alireza. “Modeling, Parameter Identification, and Degradation-Conscious Control of Polymer Electrolyte Membrane (PEM) Fuel Cells.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/155288.

MLA Handbook (7th Edition):

Goshtasbi, Alireza. “Modeling, Parameter Identification, and Degradation-Conscious Control of Polymer Electrolyte Membrane (PEM) Fuel Cells.” 2019. Web. 03 Dec 2020.

Vancouver:

Goshtasbi A. Modeling, Parameter Identification, and Degradation-Conscious Control of Polymer Electrolyte Membrane (PEM) Fuel Cells. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/155288.

Council of Science Editors:

Goshtasbi A. Modeling, Parameter Identification, and Degradation-Conscious Control of Polymer Electrolyte Membrane (PEM) Fuel Cells. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/155288


University of Michigan

12. Huang, Mike. Low Complexity Model Predictive Control of a Diesel Engine Airpath.

Degree: PhD, Aerospace Engineering, 2016, University of Michigan

 The diesel air path (DAP) system has been traditionally challenging to control due to its highly coupled nonlinear behavior and the need for constraints to… (more)

Subjects/Keywords: Model Predictive Control; Optimal Control; Powertrain Control; Diesel Air Path Control; Aerospace Engineering; Engineering

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APA (6th Edition):

Huang, M. (2016). Low Complexity Model Predictive Control of a Diesel Engine Airpath. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120832

Chicago Manual of Style (16th Edition):

Huang, Mike. “Low Complexity Model Predictive Control of a Diesel Engine Airpath.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/120832.

MLA Handbook (7th Edition):

Huang, Mike. “Low Complexity Model Predictive Control of a Diesel Engine Airpath.” 2016. Web. 03 Dec 2020.

Vancouver:

Huang M. Low Complexity Model Predictive Control of a Diesel Engine Airpath. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/120832.

Council of Science Editors:

Huang M. Low Complexity Model Predictive Control of a Diesel Engine Airpath. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120832


University of Michigan

13. Bentz, William. Dynamic Coverage Control and Estimation in Collaborative Networks of Human-Aerial/Space Co-Robots.

Degree: PhD, Aerospace Engineering, 2020, University of Michigan

 In this dissertation, the author presents a set of control, estimation, and decision making strategies to enable small unmanned aircraft systems and free-flying space robots… (more)

Subjects/Keywords: multi-agent systems; human-robot interaction; Aerospace Engineering; Engineering

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APA (6th Edition):

Bentz, W. (2020). Dynamic Coverage Control and Estimation in Collaborative Networks of Human-Aerial/Space Co-Robots. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155147

Chicago Manual of Style (16th Edition):

Bentz, William. “Dynamic Coverage Control and Estimation in Collaborative Networks of Human-Aerial/Space Co-Robots.” 2020. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/155147.

MLA Handbook (7th Edition):

Bentz, William. “Dynamic Coverage Control and Estimation in Collaborative Networks of Human-Aerial/Space Co-Robots.” 2020. Web. 03 Dec 2020.

Vancouver:

Bentz W. Dynamic Coverage Control and Estimation in Collaborative Networks of Human-Aerial/Space Co-Robots. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/155147.

Council of Science Editors:

Bentz W. Dynamic Coverage Control and Estimation in Collaborative Networks of Human-Aerial/Space Co-Robots. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155147


University of Michigan

14. Younkins, Matthew A. Improving the Efficiency of the Hydrogen Engine.

Degree: PhD, Mechanical Engineering, 2012, University of Michigan

 Internal combustion engines fueled by hydrogen are among the most efficient means of converting chemical energy to mechanical work. The exhaust has near-zero carbon emissions… (more)

Subjects/Keywords: Hydrogen Engine; Water Injection; Mechanical Engineering; Engineering

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APA (6th Edition):

Younkins, M. A. (2012). Improving the Efficiency of the Hydrogen Engine. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/96162

Chicago Manual of Style (16th Edition):

Younkins, Matthew A. “Improving the Efficiency of the Hydrogen Engine.” 2012. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/96162.

MLA Handbook (7th Edition):

Younkins, Matthew A. “Improving the Efficiency of the Hydrogen Engine.” 2012. Web. 03 Dec 2020.

Vancouver:

Younkins MA. Improving the Efficiency of the Hydrogen Engine. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/96162.

Council of Science Editors:

Younkins MA. Improving the Efficiency of the Hydrogen Engine. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/96162


University of Michigan

15. Petersen, Christopher. Advances in Underactuated Spacecraft Control.

Degree: PhD, Aerospace Engineering, 2016, University of Michigan

 This dissertation addresses the control of a spacecraft which either becomes underactuated due to onboard failures or is made underactuated by design. Successfully controlling an… (more)

Subjects/Keywords: Spacecraft Dynamics and Control; Underactuated Control; Attitude Control; Coupled Rotational and Translational Relative Motion; Model Predictive Control; Aerospace Engineering; Engineering

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APA (6th Edition):

Petersen, C. (2016). Advances in Underactuated Spacecraft Control. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133430

Chicago Manual of Style (16th Edition):

Petersen, Christopher. “Advances in Underactuated Spacecraft Control.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/133430.

MLA Handbook (7th Edition):

Petersen, Christopher. “Advances in Underactuated Spacecraft Control.” 2016. Web. 03 Dec 2020.

Vancouver:

Petersen C. Advances in Underactuated Spacecraft Control. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/133430.

Council of Science Editors:

Petersen C. Advances in Underactuated Spacecraft Control. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133430


University of Michigan

16. Sutherland Jr, Richard. Advances in Disjunctive and Time-Optimal Predictive Control Methods.

Degree: PhD, Aerospace Engineering, 2019, University of Michigan

 This dissertation addresses two kinds of problems. The first kind, Disjunctive Sensing and Control (DSC), is a particular variant of a hybrid control problem type… (more)

Subjects/Keywords: Control Engineering; Predictive Control; Hybrid Control; Control of Magnetically-Actuated Spacecraft; Optimal Control; Aerospace Engineering; Engineering

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APA (6th Edition):

Sutherland Jr, R. (2019). Advances in Disjunctive and Time-Optimal Predictive Control Methods. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151596

Chicago Manual of Style (16th Edition):

Sutherland Jr, Richard. “Advances in Disjunctive and Time-Optimal Predictive Control Methods.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/151596.

MLA Handbook (7th Edition):

Sutherland Jr, Richard. “Advances in Disjunctive and Time-Optimal Predictive Control Methods.” 2019. Web. 03 Dec 2020.

Vancouver:

Sutherland Jr R. Advances in Disjunctive and Time-Optimal Predictive Control Methods. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/151596.

Council of Science Editors:

Sutherland Jr R. Advances in Disjunctive and Time-Optimal Predictive Control Methods. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151596


University of Michigan

17. Duan, Molong. Energy-Optimal Control of Over-Actuated Systems - with Application to a Hybrid Feed Drive.

Degree: PhD, Mechanical Engineering, 2018, University of Michigan

 Over-actuated (or input-redundant) systems are characterized by the use of more actuators than the degrees of freedom to be controlled. They are widely used in… (more)

Subjects/Keywords: over-actuated system; control allocation; hybrid feed drive; Mechanical Engineering; Engineering

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APA (6th Edition):

Duan, M. (2018). Energy-Optimal Control of Over-Actuated Systems - with Application to a Hybrid Feed Drive. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/146104

Chicago Manual of Style (16th Edition):

Duan, Molong. “Energy-Optimal Control of Over-Actuated Systems - with Application to a Hybrid Feed Drive.” 2018. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/146104.

MLA Handbook (7th Edition):

Duan, Molong. “Energy-Optimal Control of Over-Actuated Systems - with Application to a Hybrid Feed Drive.” 2018. Web. 03 Dec 2020.

Vancouver:

Duan M. Energy-Optimal Control of Over-Actuated Systems - with Application to a Hybrid Feed Drive. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/146104.

Council of Science Editors:

Duan M. Energy-Optimal Control of Over-Actuated Systems - with Application to a Hybrid Feed Drive. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/146104


University of Michigan

18. Liao-McPherson, Dominic. Variational and Time-Distributed Methods for Real-time Model Predictive Control.

Degree: PhD, Aerospace Engineering, 2020, University of Michigan

 This dissertation concerns the theoretical, algorithmic, and practical aspects of solving optimal control problems (OCPs) in real-time. The topic is motivated by Model Predictive Control… (more)

Subjects/Keywords: Model Predictive Control; Real-time Optimization; Automotive Applications; Input-to-state Stability; Quadratic Programming; Optimization Algorithms; Engineering (General); Engineering

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APA (6th Edition):

Liao-McPherson, D. (2020). Variational and Time-Distributed Methods for Real-time Model Predictive Control. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155167

Chicago Manual of Style (16th Edition):

Liao-McPherson, Dominic. “Variational and Time-Distributed Methods for Real-time Model Predictive Control.” 2020. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/155167.

MLA Handbook (7th Edition):

Liao-McPherson, Dominic. “Variational and Time-Distributed Methods for Real-time Model Predictive Control.” 2020. Web. 03 Dec 2020.

Vancouver:

Liao-McPherson D. Variational and Time-Distributed Methods for Real-time Model Predictive Control. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/155167.

Council of Science Editors:

Liao-McPherson D. Variational and Time-Distributed Methods for Real-time Model Predictive Control. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155167


University of Michigan

19. Kody, Alyssa. Optimal Control of Self-Powered Systems Using Primal-Dual Techniques.

Degree: PhD, Electrical Engineering: Systems, 2019, University of Michigan

 Vibration-based self-powered systems are electromechanical technologies that are mechanically coupled to vibratory phenomena, and have the capability to convert this mechanical energy into electrical energy… (more)

Subjects/Keywords: optimal control; self-powered systems; model predictive control; dual relaxation; Electrical Engineering; Engineering

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APA (6th Edition):

Kody, A. (2019). Optimal Control of Self-Powered Systems Using Primal-Dual Techniques. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153363

Chicago Manual of Style (16th Edition):

Kody, Alyssa. “Optimal Control of Self-Powered Systems Using Primal-Dual Techniques.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/153363.

MLA Handbook (7th Edition):

Kody, Alyssa. “Optimal Control of Self-Powered Systems Using Primal-Dual Techniques.” 2019. Web. 03 Dec 2020.

Vancouver:

Kody A. Optimal Control of Self-Powered Systems Using Primal-Dual Techniques. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/153363.

Council of Science Editors:

Kody A. Optimal Control of Self-Powered Systems Using Primal-Dual Techniques. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153363


University of Michigan

20. Wu, Kai. Real-Time Energy Management and Transient Power Control for Fuel Cell Electrified Vehicles.

Degree: PhD, Mechanical Engineering, 2019, University of Michigan

 Automotive OEMs have responded to energy and environmental concerns with mass-produced Hybrid Electric Vehicles (HEVs), Plug-in Hybrid Electric Vehicles (PHEVs), and Battery Electric Vehicles (BEVs)… (more)

Subjects/Keywords: Real-time Energy Management; Transient Power Control; Fuel Cell Electrified Vehicles; Hybrid Vehicles; Model Predictive Control; Optimization; Mechanical Engineering; Engineering

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APA (6th Edition):

Wu, K. (2019). Real-Time Energy Management and Transient Power Control for Fuel Cell Electrified Vehicles. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149914

Chicago Manual of Style (16th Edition):

Wu, Kai. “Real-Time Energy Management and Transient Power Control for Fuel Cell Electrified Vehicles.” 2019. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/149914.

MLA Handbook (7th Edition):

Wu, Kai. “Real-Time Energy Management and Transient Power Control for Fuel Cell Electrified Vehicles.” 2019. Web. 03 Dec 2020.

Vancouver:

Wu K. Real-Time Energy Management and Transient Power Control for Fuel Cell Electrified Vehicles. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/149914.

Council of Science Editors:

Wu K. Real-Time Energy Management and Transient Power Control for Fuel Cell Electrified Vehicles. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149914


University of Michigan

21. Li, Zhaojian. Developments in Estimation and Control for Cloud-Enabled Automotive Vehicles.

Degree: PhD, Aerospace Engineering, 2016, University of Michigan

 Cloud computing is revolutionizing access to distributed information and computing resources that can facilitate future data and computation intensive vehicular control functions and improve vehicle… (more)

Subjects/Keywords: Vehicle-to-Cloud-to-Vehicle; Comfort route planning; Safety route planning; Jump-diffusion process; Road profile estimation and anomaly detection; Cloud-aided semi-active suspension control; Mechanical Engineering; Engineering

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APA (6th Edition):

Li, Z. (2016). Developments in Estimation and Control for Cloud-Enabled Automotive Vehicles. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120710

Chicago Manual of Style (16th Edition):

Li, Zhaojian. “Developments in Estimation and Control for Cloud-Enabled Automotive Vehicles.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/120710.

MLA Handbook (7th Edition):

Li, Zhaojian. “Developments in Estimation and Control for Cloud-Enabled Automotive Vehicles.” 2016. Web. 03 Dec 2020.

Vancouver:

Li Z. Developments in Estimation and Control for Cloud-Enabled Automotive Vehicles. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/120710.

Council of Science Editors:

Li Z. Developments in Estimation and Control for Cloud-Enabled Automotive Vehicles. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120710


University of Michigan

22. Reed, David M. Identification and Adaptive Control for High-performance AC Drive Systems.

Degree: PhD, Electrical Engineering: Systems, 2016, University of Michigan

 High-performance AC machinery and drive systems can be found in a variety of applications ranging from motion control to vehicle propulsion. However, machine parameters can… (more)

Subjects/Keywords: Adaptive Control; AC Drives; Parameter Identification; Overactuated Systems; Electrical Engineering; Engineering

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APA (6th Edition):

Reed, D. M. (2016). Identification and Adaptive Control for High-performance AC Drive Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120862

Chicago Manual of Style (16th Edition):

Reed, David M. “Identification and Adaptive Control for High-performance AC Drive Systems.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/120862.

MLA Handbook (7th Edition):

Reed, David M. “Identification and Adaptive Control for High-performance AC Drive Systems.” 2016. Web. 03 Dec 2020.

Vancouver:

Reed DM. Identification and Adaptive Control for High-performance AC Drive Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/120862.

Council of Science Editors:

Reed DM. Identification and Adaptive Control for High-performance AC Drive Systems. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120862


University of Michigan

23. Berning Jr, Andrew. Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints.

Degree: PhD, Aerospace Engineering, 2020, University of Michigan

 The topic of this dissertation is the control and optimization of aerospace systems under the influence of stochastic disturbances, uncertainties, and subject to chance constraints.… (more)

Subjects/Keywords: Model Predictive Control; Stochastic Control; Stochastic Optimization; Quadratic Programming; Spacecraft Applications; Aerospace Engineering; Engineering

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APA (6th Edition):

Berning Jr, A. (2020). Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162992

Chicago Manual of Style (16th Edition):

Berning Jr, Andrew. “Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints.” 2020. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/162992.

MLA Handbook (7th Edition):

Berning Jr, Andrew. “Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints.” 2020. Web. 03 Dec 2020.

Vancouver:

Berning Jr A. Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/162992.

Council of Science Editors:

Berning Jr A. Control and Optimization for Aerospace Systems with Stochastic Disturbances, Uncertainties, and Constraints. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/162992


University of Michigan

24. Wurts, John. Real-Time Collision Imminent Steering Using One-Level Nonlinear Model Predictive Control.

Degree: PhD, Mechanical Engineering, 2020, University of Michigan

 Automotive active safety features are designed to complement or intervene a human driver's actions in safety critical situations. Existing active safety features, such as adaptive… (more)

Subjects/Keywords: Optimal Control; Nonlinear Model Predictive Control; Automotive Automated Driving and Active Safety; GPU Programming; Nonlinear Optimization; Mechanical Engineering; Engineering

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APA (6th Edition):

Wurts, J. (2020). Real-Time Collision Imminent Steering Using One-Level Nonlinear Model Predictive Control. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163063

Chicago Manual of Style (16th Edition):

Wurts, John. “Real-Time Collision Imminent Steering Using One-Level Nonlinear Model Predictive Control.” 2020. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/163063.

MLA Handbook (7th Edition):

Wurts, John. “Real-Time Collision Imminent Steering Using One-Level Nonlinear Model Predictive Control.” 2020. Web. 03 Dec 2020.

Vancouver:

Wurts J. Real-Time Collision Imminent Steering Using One-Level Nonlinear Model Predictive Control. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/163063.

Council of Science Editors:

Wurts J. Real-Time Collision Imminent Steering Using One-Level Nonlinear Model Predictive Control. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163063


University of Michigan

25. Oyler, Dave Wilson. Contributions To Pursuit-Evasion Game Theory.

Degree: PhD, Aerospace Engineering, 2016, University of Michigan

 This dissertation studies adversarial conflicts among a group of agents moving in the plane, possibly among obstacles, where some agents are pursuers and others are… (more)

Subjects/Keywords: Pursuit-Evasion Games; Adversarial Games; Dominance Regions; Multi-Agent Systems; Autonomous Mobile Robotics; Homing Guidance; Aerospace Engineering; Engineering (General); Engineering

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APA (6th Edition):

Oyler, D. W. (2016). Contributions To Pursuit-Evasion Game Theory. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120650

Chicago Manual of Style (16th Edition):

Oyler, Dave Wilson. “Contributions To Pursuit-Evasion Game Theory.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/120650.

MLA Handbook (7th Edition):

Oyler, Dave Wilson. “Contributions To Pursuit-Evasion Game Theory.” 2016. Web. 03 Dec 2020.

Vancouver:

Oyler DW. Contributions To Pursuit-Evasion Game Theory. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/120650.

Council of Science Editors:

Oyler DW. Contributions To Pursuit-Evasion Game Theory. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120650


University of Michigan

26. Brzezinski, Adam John. Output-Only Techniques For Fault Detection.

Degree: PhD, Aerospace Engineering, 2011, University of Michigan

 Fault detection is relevant to many applications, including structural health monitoring and machine health monitoring. Furthermore, output measurement data may be the only information known… (more)

Subjects/Keywords: Fault Detection; Sensor-only; Pseudo Transfer Function; Health Monitoring; Least Squares; Feature Selection; Aerospace Engineering; Civil and Environmental Engineering; Engineering (General); Mechanical Engineering; Science (General); Statistics and Numeric Data; Engineering; Science

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APA (6th Edition):

Brzezinski, A. J. (2011). Output-Only Techniques For Fault Detection. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86429

Chicago Manual of Style (16th Edition):

Brzezinski, Adam John. “Output-Only Techniques For Fault Detection.” 2011. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/86429.

MLA Handbook (7th Edition):

Brzezinski, Adam John. “Output-Only Techniques For Fault Detection.” 2011. Web. 03 Dec 2020.

Vancouver:

Brzezinski AJ. Output-Only Techniques For Fault Detection. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/86429.

Council of Science Editors:

Brzezinski AJ. Output-Only Techniques For Fault Detection. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86429


University of Michigan

27. Balachandran, Sweewarman. Flight Safety Assessment and Management.

Degree: PhD, Aerospace Engineering, 2016, University of Michigan

 This dissertation develops a Flight Safety Assessment and Management (FSAM) system to mitigate aircraft loss of control risk. FSAM enables switching between the pilot/nominal autopilot… (more)

Subjects/Keywords: Decision making for safe autonomous operation; Aerospace Information Systems; Aerospace Engineering; Engineering

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APA (6th Edition):

Balachandran, S. (2016). Flight Safety Assessment and Management. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133348

Chicago Manual of Style (16th Edition):

Balachandran, Sweewarman. “Flight Safety Assessment and Management.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/133348.

MLA Handbook (7th Edition):

Balachandran, Sweewarman. “Flight Safety Assessment and Management.” 2016. Web. 03 Dec 2020.

Vancouver:

Balachandran S. Flight Safety Assessment and Management. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/133348.

Council of Science Editors:

Balachandran S. Flight Safety Assessment and Management. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133348


University of Michigan

28. Frey, Gregory. Advances in Constrained Spacecraft Relative Motion Planning.

Degree: PhD, Aerospace Engineering, 2018, University of Michigan

 This dissertation considers Spacecraft Relative Motion Planning (SRMP), where maneuvers are planned for one or more spacecraft to execute in close proximity to obstacles or… (more)

Subjects/Keywords: Spacecraft Relative Motion Planning; Constrained Spacecraft Control; Satellite Proximity Operations; Invariance-based Control; Parameter Governor; Satellite Inspection; Aerospace Engineering; Engineering

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APA (6th Edition):

Frey, G. (2018). Advances in Constrained Spacecraft Relative Motion Planning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/145795

Chicago Manual of Style (16th Edition):

Frey, Gregory. “Advances in Constrained Spacecraft Relative Motion Planning.” 2018. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/145795.

MLA Handbook (7th Edition):

Frey, Gregory. “Advances in Constrained Spacecraft Relative Motion Planning.” 2018. Web. 03 Dec 2020.

Vancouver:

Frey G. Advances in Constrained Spacecraft Relative Motion Planning. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/145795.

Council of Science Editors:

Frey G. Advances in Constrained Spacecraft Relative Motion Planning. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/145795


University of Michigan

29. Liu, Jiechao. High-Speed Obstacle Avoidance at the Dynamic Limits for Autonomous Ground Vehicles.

Degree: PhD, Mechanical Engineering, 2016, University of Michigan

 Enabling autonomy of passenger-size and larger vehicles is becoming increasingly important in both military and commercial applications. For large autonomous ground vehicles (AGVs), the vehicle… (more)

Subjects/Keywords: Autonomous ground vehicle; Obstacle avoidance; Model predictive control; Mechanical Engineering; Engineering

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APA (6th Edition):

Liu, J. (2016). High-Speed Obstacle Avoidance at the Dynamic Limits for Autonomous Ground Vehicles. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/137003

Chicago Manual of Style (16th Edition):

Liu, Jiechao. “High-Speed Obstacle Avoidance at the Dynamic Limits for Autonomous Ground Vehicles.” 2016. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/137003.

MLA Handbook (7th Edition):

Liu, Jiechao. “High-Speed Obstacle Avoidance at the Dynamic Limits for Autonomous Ground Vehicles.” 2016. Web. 03 Dec 2020.

Vancouver:

Liu J. High-Speed Obstacle Avoidance at the Dynamic Limits for Autonomous Ground Vehicles. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/137003.

Council of Science Editors:

Liu J. High-Speed Obstacle Avoidance at the Dynamic Limits for Autonomous Ground Vehicles. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/137003


University of Michigan

30. Kalabic, Uros. Reference governors: Theoretical Extensions and Practical Applications.

Degree: PhD, Aerospace Engineering, 2015, University of Michigan

 As systems become downsized and operate at the limits of performance, control systems must be designed to ensure that system state and control constraints are… (more)

Subjects/Keywords: Reference governor; Constrained systems; Aerospace Engineering; Electrical Engineering; Engineering

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APA (6th Edition):

Kalabic, U. (2015). Reference governors: Theoretical Extensions and Practical Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113518

Chicago Manual of Style (16th Edition):

Kalabic, Uros. “Reference governors: Theoretical Extensions and Practical Applications.” 2015. Doctoral Dissertation, University of Michigan. Accessed December 03, 2020. http://hdl.handle.net/2027.42/113518.

MLA Handbook (7th Edition):

Kalabic, Uros. “Reference governors: Theoretical Extensions and Practical Applications.” 2015. Web. 03 Dec 2020.

Vancouver:

Kalabic U. Reference governors: Theoretical Extensions and Practical Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Dec 03]. Available from: http://hdl.handle.net/2027.42/113518.

Council of Science Editors:

Kalabic U. Reference governors: Theoretical Extensions and Practical Applications. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113518

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