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You searched for +publisher:"Texas A&M University" +contributor:("Valasek, John"). Showing records 1 – 30 of 63 total matches.

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Texas A&M University

1. Wen, Yalun. Robotic Surface Finishing of Curved Surfaces: Real-Time Identification of Surface Profile and Control.

Degree: MS, Mechanical Engineering, 2018, Texas A&M University

 This thesis introduces a complete design framework for robotic surface finishing of curved surfaces. The system setup is subdivided into three key components: Real-time surface… (more)

Subjects/Keywords: robot surface finishing; simultaneous force/position control

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APA (6th Edition):

Wen, Y. (2018). Robotic Surface Finishing of Curved Surfaces: Real-Time Identification of Surface Profile and Control. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173630

Chicago Manual of Style (16th Edition):

Wen, Yalun. “Robotic Surface Finishing of Curved Surfaces: Real-Time Identification of Surface Profile and Control.” 2018. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/173630.

MLA Handbook (7th Edition):

Wen, Yalun. “Robotic Surface Finishing of Curved Surfaces: Real-Time Identification of Surface Profile and Control.” 2018. Web. 03 Mar 2021.

Vancouver:

Wen Y. Robotic Surface Finishing of Curved Surfaces: Real-Time Identification of Surface Profile and Control. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/173630.

Council of Science Editors:

Wen Y. Robotic Surface Finishing of Curved Surfaces: Real-Time Identification of Surface Profile and Control. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173630


Texas A&M University

2. Woodbury, Timothy Daniel. Synthesis and Hardware Implementation of an Unmanned Aerial Vehicle Automatic Landing System Utilizing Quantitative Feedback Theory.

Degree: MS, Aerospace Engineering, 2014, Texas A&M University

 Approach and landing are among the most difficult flight regimes for automatic control of fixed-wing aircraft. Additional challenges are introduced when working with unmanned aerial… (more)

Subjects/Keywords: quantitative feedback theory; automatic landing; autolanding; qft; unmanned aerial vehicle; automatic control

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APA (6th Edition):

Woodbury, T. D. (2014). Synthesis and Hardware Implementation of an Unmanned Aerial Vehicle Automatic Landing System Utilizing Quantitative Feedback Theory. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153400

Chicago Manual of Style (16th Edition):

Woodbury, Timothy Daniel. “Synthesis and Hardware Implementation of an Unmanned Aerial Vehicle Automatic Landing System Utilizing Quantitative Feedback Theory.” 2014. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/153400.

MLA Handbook (7th Edition):

Woodbury, Timothy Daniel. “Synthesis and Hardware Implementation of an Unmanned Aerial Vehicle Automatic Landing System Utilizing Quantitative Feedback Theory.” 2014. Web. 03 Mar 2021.

Vancouver:

Woodbury TD. Synthesis and Hardware Implementation of an Unmanned Aerial Vehicle Automatic Landing System Utilizing Quantitative Feedback Theory. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/153400.

Council of Science Editors:

Woodbury TD. Synthesis and Hardware Implementation of an Unmanned Aerial Vehicle Automatic Landing System Utilizing Quantitative Feedback Theory. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153400


Texas A&M University

3. Lee, Bochan. Helicopter Autonomous Ship Landing System.

Degree: MS, Aerospace Engineering, 2018, Texas A&M University

 This research focuses on developing a helicopter autonomous ship landing algorithm based on the real helicopter ship landing procedure which is already proven and currently… (more)

Subjects/Keywords: Autonomous Ship Landing; Autopilot; Autonomous; Ship Landing; Helicopter Modeling; UH-60; UH-60 Helicopter; UH-60 Helicopter Model; UH-60 Helicopter Modeling; Linear Quadratic Regulator; LQR; Vision-based Navigation; Computer Vision; Unmanned Aerial Vehicle; UAV; Unmanned Aerial System; UAS; Vertical Takeoff and Landing; VTOL; VTOL UAV; Optimal Control; Optimal Control System; Visualization; X-Plane; Simulation; Trajectory Tracking; LQR for setpoint tracking; LQR for non-zero set-point tracking; Flight Path Tracking

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APA (6th Edition):

Lee, B. (2018). Helicopter Autonomous Ship Landing System. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188922

Chicago Manual of Style (16th Edition):

Lee, Bochan. “Helicopter Autonomous Ship Landing System.” 2018. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/188922.

MLA Handbook (7th Edition):

Lee, Bochan. “Helicopter Autonomous Ship Landing System.” 2018. Web. 03 Mar 2021.

Vancouver:

Lee B. Helicopter Autonomous Ship Landing System. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/188922.

Council of Science Editors:

Lee B. Helicopter Autonomous Ship Landing System. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/188922


Texas A&M University

4. Lee, Bochan. Helicopter Autonomous Ship Landing System.

Degree: MS, Aerospace Engineering, 2018, Texas A&M University

 This research focuses on developing a helicopter autonomous ship landing algorithm based on the real helicopter ship landing procedure which is already proven and currently… (more)

Subjects/Keywords: Autonomous Ship Landing; Autopilot; Autonomous; Ship Landing; Helicopter Modeling; UH-60; UH-60 Helicopter; UH-60 Helicopter Model; UH-60 Helicopter Modeling; Linear Quadratic Regulator; LQR; Vision-based Navigation; Computer Vision; Unmanned Aerial Vehicle; UAV; Unmanned Aerial System; UAS; Vertical Takeoff and Landing; VTOL; VTOL UAV; Optimal Control; Optimal Control System; Visualization; X-Plane; Simulation; Trajectory Tracking; LQR for setpoint tracking; LQR for non-zero set-point tracking; Flight Path Tracking

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APA (6th Edition):

Lee, B. (2018). Helicopter Autonomous Ship Landing System. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188920

Chicago Manual of Style (16th Edition):

Lee, Bochan. “Helicopter Autonomous Ship Landing System.” 2018. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/188920.

MLA Handbook (7th Edition):

Lee, Bochan. “Helicopter Autonomous Ship Landing System.” 2018. Web. 03 Mar 2021.

Vancouver:

Lee B. Helicopter Autonomous Ship Landing System. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/188920.

Council of Science Editors:

Lee B. Helicopter Autonomous Ship Landing System. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/188920


Texas A&M University

5. Lee, Bochan. Helicopter Autonomous Ship Landing System.

Degree: MS, Aerospace Engineering, 2018, Texas A&M University

 This research focuses on developing a helicopter autonomous ship landing algorithm based on the real helicopter ship landing procedure which is already proven and currently… (more)

Subjects/Keywords: Autonomous Ship Landing; Autopilot; Autonomous; Ship Landing; Helicopter Modeling; UH-60; UH-60 Helicopter; UH-60 Helicopter Model; UH-60 Helicopter Modeling; Linear Quadratic Regulator; LQR; Vision-based Navigation; Computer Vision; Unmanned Aerial Vehicle; UAV; Unmanned Aerial System; UAS; Vertical Takeoff and Landing; VTOL; VTOL UAV; Optimal Control; Optimal Control System; Visualization; X-Plane; Simulation; Trajectory Tracking; LQR for setpoint tracking; LQR for non-zero set-point tracking; Flight Path Tracking

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APA (6th Edition):

Lee, B. (2018). Helicopter Autonomous Ship Landing System. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188923

Chicago Manual of Style (16th Edition):

Lee, Bochan. “Helicopter Autonomous Ship Landing System.” 2018. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/188923.

MLA Handbook (7th Edition):

Lee, Bochan. “Helicopter Autonomous Ship Landing System.” 2018. Web. 03 Mar 2021.

Vancouver:

Lee B. Helicopter Autonomous Ship Landing System. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/188923.

Council of Science Editors:

Lee B. Helicopter Autonomous Ship Landing System. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/188923


Texas A&M University

6. Lee, Bochan. Helicopter Autonomous Ship Landing System.

Degree: MS, Aerospace Engineering, 2018, Texas A&M University

 This research focuses on developing a helicopter autonomous ship landing algorithm based on the real helicopter ship landing procedure which is already proven and currently… (more)

Subjects/Keywords: Autonomous Ship Landing; Autopilot; Autonomous; Ship Landing; Helicopter Modeling; UH-60; UH-60 Helicopter; UH-60 Helicopter Model; UH-60 Helicopter Modeling; Linear Quadratic Regulator; LQR; Vision-based Navigation; Computer Vision; Unmanned Aerial Vehicle; UAV; Unmanned Aerial System; UAS; Vertical Takeoff and Landing; VTOL; VTOL UAV; Optimal Control; Optimal Control System; Visualization; X-Plane; Simulation; Trajectory Tracking; LQR for setpoint tracking; LQR for non-zero set-point tracking; Flight Path Tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lee, B. (2018). Helicopter Autonomous Ship Landing System. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188921

Chicago Manual of Style (16th Edition):

Lee, Bochan. “Helicopter Autonomous Ship Landing System.” 2018. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/188921.

MLA Handbook (7th Edition):

Lee, Bochan. “Helicopter Autonomous Ship Landing System.” 2018. Web. 03 Mar 2021.

Vancouver:

Lee B. Helicopter Autonomous Ship Landing System. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/188921.

Council of Science Editors:

Lee B. Helicopter Autonomous Ship Landing System. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/188921


Texas A&M University

7. Famularo, Douglas I. Observer-Based Nonlinear Dynamic Inversion Adaptive Control with State Constraints.

Degree: PhD, Aerospace Engineering, 2017, Texas A&M University

 Hypersonic vehicle research and development has grown recently in the aerospace industry due to the powerful potential of operating a vehicle that flies at substantially… (more)

Subjects/Keywords: Adaptive Control; Nonlinear Dynamic Inversion; Nonlinear Hypersonic Vehicle Control; State Constraints

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APA (6th Edition):

Famularo, D. I. (2017). Observer-Based Nonlinear Dynamic Inversion Adaptive Control with State Constraints. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169595

Chicago Manual of Style (16th Edition):

Famularo, Douglas I. “Observer-Based Nonlinear Dynamic Inversion Adaptive Control with State Constraints.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/169595.

MLA Handbook (7th Edition):

Famularo, Douglas I. “Observer-Based Nonlinear Dynamic Inversion Adaptive Control with State Constraints.” 2017. Web. 03 Mar 2021.

Vancouver:

Famularo DI. Observer-Based Nonlinear Dynamic Inversion Adaptive Control with State Constraints. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/169595.

Council of Science Editors:

Famularo DI. Observer-Based Nonlinear Dynamic Inversion Adaptive Control with State Constraints. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169595


Texas A&M University

8. Barnes, Justin David. Rapid Design & Control of Small Unmanned Aerial Systems.

Degree: MS, Aerospace Engineering, 2016, Texas A&M University

 As the Federal Aviation Administration (FAA) begins to allow commercial Unmanned Aircraft (UA) flights in the United States, businesses and organizations of all types are… (more)

Subjects/Keywords: Modern Control Design; sUAS; UAV; UA; tiltrotor; modeling

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APA (6th Edition):

Barnes, J. D. (2016). Rapid Design & Control of Small Unmanned Aerial Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174280

Chicago Manual of Style (16th Edition):

Barnes, Justin David. “Rapid Design & Control of Small Unmanned Aerial Systems.” 2016. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/174280.

MLA Handbook (7th Edition):

Barnes, Justin David. “Rapid Design & Control of Small Unmanned Aerial Systems.” 2016. Web. 03 Mar 2021.

Vancouver:

Barnes JD. Rapid Design & Control of Small Unmanned Aerial Systems. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/174280.

Council of Science Editors:

Barnes JD. Rapid Design & Control of Small Unmanned Aerial Systems. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174280


Texas A&M University

9. Babbar, Yogesh. Wind Tunnel and Flight Testing of Active Flow Control on a UAV.

Degree: MS, Aerospace Engineering, 2011, Texas A&M University

 Active flow control has been extensively explored in wind tunnel studies but successful in-flight implementation of an active flow control technology still remains a challenge.… (more)

Subjects/Keywords: UAV; active flow control; Extra 330; pulsed blowing; fluidic actuator; flight testing; wind tunnel testing; ailerons

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APA (6th Edition):

Babbar, Y. (2011). Wind Tunnel and Flight Testing of Active Flow Control on a UAV. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-8003

Chicago Manual of Style (16th Edition):

Babbar, Yogesh. “Wind Tunnel and Flight Testing of Active Flow Control on a UAV.” 2011. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-8003.

MLA Handbook (7th Edition):

Babbar, Yogesh. “Wind Tunnel and Flight Testing of Active Flow Control on a UAV.” 2011. Web. 03 Mar 2021.

Vancouver:

Babbar Y. Wind Tunnel and Flight Testing of Active Flow Control on a UAV. [Internet] [Masters thesis]. Texas A&M University; 2011. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-8003.

Council of Science Editors:

Babbar Y. Wind Tunnel and Flight Testing of Active Flow Control on a UAV. [Masters Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-8003


Texas A&M University

10. Nelson, Eric James. Learning to Control Linear Time-Invariant Systems with Discrete Time Reinforcement Learning.

Degree: MS, Computer Science, 2016, Texas A&M University

 Reinforcement learning (RL) is a powerful method for learning policies in environments with delayed feedback in a model-free way. Another powerful method for obtaining control… (more)

Subjects/Keywords: LQR; reinforcment learning; discretization; continuous state-space; learning

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APA (6th Edition):

Nelson, E. J. (2016). Learning to Control Linear Time-Invariant Systems with Discrete Time Reinforcement Learning. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158675

Chicago Manual of Style (16th Edition):

Nelson, Eric James. “Learning to Control Linear Time-Invariant Systems with Discrete Time Reinforcement Learning.” 2016. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/158675.

MLA Handbook (7th Edition):

Nelson, Eric James. “Learning to Control Linear Time-Invariant Systems with Discrete Time Reinforcement Learning.” 2016. Web. 03 Mar 2021.

Vancouver:

Nelson EJ. Learning to Control Linear Time-Invariant Systems with Discrete Time Reinforcement Learning. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/158675.

Council of Science Editors:

Nelson EJ. Learning to Control Linear Time-Invariant Systems with Discrete Time Reinforcement Learning. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158675


Texas A&M University

11. Lu, Han-Hsun. Online Near Real-Time Online System Identification on Small Unmanned Aircraft Systems.

Degree: MS, Aerospace Engineering, 2018, Texas A&M University

 An online near real-time system identification system is developed for generating locally linear models of Small Unmanned Air Systems. Automated control surface excitation inputs consisting… (more)

Subjects/Keywords: suas; system identification; real-time

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APA (6th Edition):

Lu, H. (2018). Online Near Real-Time Online System Identification on Small Unmanned Aircraft Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173510

Chicago Manual of Style (16th Edition):

Lu, Han-Hsun. “Online Near Real-Time Online System Identification on Small Unmanned Aircraft Systems.” 2018. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/173510.

MLA Handbook (7th Edition):

Lu, Han-Hsun. “Online Near Real-Time Online System Identification on Small Unmanned Aircraft Systems.” 2018. Web. 03 Mar 2021.

Vancouver:

Lu H. Online Near Real-Time Online System Identification on Small Unmanned Aircraft Systems. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/173510.

Council of Science Editors:

Lu H. Online Near Real-Time Online System Identification on Small Unmanned Aircraft Systems. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173510


Texas A&M University

12. Long, Robert Raymond. Experiments on Dynamic Aeroelastic Response of Wind Turbine Blades.

Degree: PhD, Aerospace Engineering, 2017, Texas A&M University

 Wind turbine blades are growing progressively larger and lighter relative to their size, and these trends can lead to early failure due to fatigue. Effort… (more)

Subjects/Keywords: wind turbine; aeroelasticity; wind tunnel; experimental

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APA (6th Edition):

Long, R. R. (2017). Experiments on Dynamic Aeroelastic Response of Wind Turbine Blades. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173080

Chicago Manual of Style (16th Edition):

Long, Robert Raymond. “Experiments on Dynamic Aeroelastic Response of Wind Turbine Blades.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/173080.

MLA Handbook (7th Edition):

Long, Robert Raymond. “Experiments on Dynamic Aeroelastic Response of Wind Turbine Blades.” 2017. Web. 03 Mar 2021.

Vancouver:

Long RR. Experiments on Dynamic Aeroelastic Response of Wind Turbine Blades. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/173080.

Council of Science Editors:

Long RR. Experiments on Dynamic Aeroelastic Response of Wind Turbine Blades. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/173080


Texas A&M University

13. Harris, Joshua A. Nonlinear Adaptive Dynamic Inversion Control for Variable Stability Small Unmanned Aircraft Systems.

Degree: MS, Aerospace Engineering, 2017, Texas A&M University

 In-flight simulation and variable stability aircraft provide useful capabilities for flight controls development such as testing control laws for new aircraft earlier, identification of adverse… (more)

Subjects/Keywords: adaptive control; dynamic inversion; flight control; in-flight simulation

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APA (6th Edition):

Harris, J. A. (2017). Nonlinear Adaptive Dynamic Inversion Control for Variable Stability Small Unmanned Aircraft Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/169626

Chicago Manual of Style (16th Edition):

Harris, Joshua A. “Nonlinear Adaptive Dynamic Inversion Control for Variable Stability Small Unmanned Aircraft Systems.” 2017. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/169626.

MLA Handbook (7th Edition):

Harris, Joshua A. “Nonlinear Adaptive Dynamic Inversion Control for Variable Stability Small Unmanned Aircraft Systems.” 2017. Web. 03 Mar 2021.

Vancouver:

Harris JA. Nonlinear Adaptive Dynamic Inversion Control for Variable Stability Small Unmanned Aircraft Systems. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/169626.

Council of Science Editors:

Harris JA. Nonlinear Adaptive Dynamic Inversion Control for Variable Stability Small Unmanned Aircraft Systems. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/169626


Texas A&M University

14. Rashdan, Mouath. The Duffing Oscillator And Linearization Techniques For Its Motion Constants.

Degree: MS, Aerospace Engineering, 2014, Texas A&M University

 Analyzing the characteristics of higher order nonlinear dynamic systems is really difficult. This can involve giving solutions with respect to time. Motion constants are another… (more)

Subjects/Keywords: Carleman Lineariation; Motion Constant.

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APA (6th Edition):

Rashdan, M. (2014). The Duffing Oscillator And Linearization Techniques For Its Motion Constants. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152511

Chicago Manual of Style (16th Edition):

Rashdan, Mouath. “The Duffing Oscillator And Linearization Techniques For Its Motion Constants.” 2014. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/152511.

MLA Handbook (7th Edition):

Rashdan, Mouath. “The Duffing Oscillator And Linearization Techniques For Its Motion Constants.” 2014. Web. 03 Mar 2021.

Vancouver:

Rashdan M. The Duffing Oscillator And Linearization Techniques For Its Motion Constants. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/152511.

Council of Science Editors:

Rashdan M. The Duffing Oscillator And Linearization Techniques For Its Motion Constants. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152511


Texas A&M University

15. Roorda, Timothy Isaac. Optimal Path Generation for Monocular Simultaneous Localization and Mapping.

Degree: MS, Aerospace Engineering, 2014, Texas A&M University

 Monocular Simultaneous Localization and Mapping (MonoSLAM), a derivative of Simultaneous Localization and Mapping (SLAM), is a navigation method for autonomous vehicles that uses only an… (more)

Subjects/Keywords: autonomous; navigation; monoslam; slam; robot; monocular; kalman; ekf

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APA (6th Edition):

Roorda, T. I. (2014). Optimal Path Generation for Monocular Simultaneous Localization and Mapping. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153871

Chicago Manual of Style (16th Edition):

Roorda, Timothy Isaac. “Optimal Path Generation for Monocular Simultaneous Localization and Mapping.” 2014. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/153871.

MLA Handbook (7th Edition):

Roorda, Timothy Isaac. “Optimal Path Generation for Monocular Simultaneous Localization and Mapping.” 2014. Web. 03 Mar 2021.

Vancouver:

Roorda TI. Optimal Path Generation for Monocular Simultaneous Localization and Mapping. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/153871.

Council of Science Editors:

Roorda TI. Optimal Path Generation for Monocular Simultaneous Localization and Mapping. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153871


Texas A&M University

16. Lee, Sang Hyun. Coverage Optimization Using Lattice Flower Constellations.

Degree: PhD, Aerospace Engineering, 2015, Texas A&M University

 Recently developed satellite systems require a group of satellites acting in concert with one another to meet mission objectives. Specifying a constellation by defining all… (more)

Subjects/Keywords: Uniformly Distributed Points; Lattice Flower Constellations; Global Coverage missions; J2-propelled Orbits

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APA (6th Edition):

Lee, S. H. (2015). Coverage Optimization Using Lattice Flower Constellations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155222

Chicago Manual of Style (16th Edition):

Lee, Sang Hyun. “Coverage Optimization Using Lattice Flower Constellations.” 2015. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/155222.

MLA Handbook (7th Edition):

Lee, Sang Hyun. “Coverage Optimization Using Lattice Flower Constellations.” 2015. Web. 03 Mar 2021.

Vancouver:

Lee SH. Coverage Optimization Using Lattice Flower Constellations. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/155222.

Council of Science Editors:

Lee SH. Coverage Optimization Using Lattice Flower Constellations. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155222


Texas A&M University

17. Pasupuleti, Murali Krishna. Design and Implementation of Voltage Based Human Inspired Feedback Control of a Planar Bipedal Robot AMBER.

Degree: MS, Electrical Engineering, 2012, Texas A&M University

 This thesis presents an approach towards experimental realization of underactuated bipedal robotic walking using human data. Human-inspired control theory serves as the foundation for this… (more)

Subjects/Keywords: Bipedal Walking; Human-inspired Control; Hybrid Control Systems

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APA (6th Edition):

Pasupuleti, M. K. (2012). Design and Implementation of Voltage Based Human Inspired Feedback Control of a Planar Bipedal Robot AMBER. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11447

Chicago Manual of Style (16th Edition):

Pasupuleti, Murali Krishna. “Design and Implementation of Voltage Based Human Inspired Feedback Control of a Planar Bipedal Robot AMBER.” 2012. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11447.

MLA Handbook (7th Edition):

Pasupuleti, Murali Krishna. “Design and Implementation of Voltage Based Human Inspired Feedback Control of a Planar Bipedal Robot AMBER.” 2012. Web. 03 Mar 2021.

Vancouver:

Pasupuleti MK. Design and Implementation of Voltage Based Human Inspired Feedback Control of a Planar Bipedal Robot AMBER. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11447.

Council of Science Editors:

Pasupuleti MK. Design and Implementation of Voltage Based Human Inspired Feedback Control of a Planar Bipedal Robot AMBER. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11447


Texas A&M University

18. Saha, Dipanjan. Full-State and Output Feedback Control of Uncertain Nonlinear Nonstandard Multiple-Time-Scale Systems.

Degree: PhD, Aerospace Engineering, 2018, Texas A&M University

 Nonlinear systems with dynamics evolving in distinct slow and fast time-scales are common in science and engineering. Geometric singular perturbation theory is a powerful tool… (more)

Subjects/Keywords: nonlinear control theory; singular perturbation; uncertain systems; output feedback

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APA (6th Edition):

Saha, D. (2018). Full-State and Output Feedback Control of Uncertain Nonlinear Nonstandard Multiple-Time-Scale Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174631

Chicago Manual of Style (16th Edition):

Saha, Dipanjan. “Full-State and Output Feedback Control of Uncertain Nonlinear Nonstandard Multiple-Time-Scale Systems.” 2018. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/174631.

MLA Handbook (7th Edition):

Saha, Dipanjan. “Full-State and Output Feedback Control of Uncertain Nonlinear Nonstandard Multiple-Time-Scale Systems.” 2018. Web. 03 Mar 2021.

Vancouver:

Saha D. Full-State and Output Feedback Control of Uncertain Nonlinear Nonstandard Multiple-Time-Scale Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/174631.

Council of Science Editors:

Saha D. Full-State and Output Feedback Control of Uncertain Nonlinear Nonstandard Multiple-Time-Scale Systems. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174631


Texas A&M University

19. Agarwal, Saurav. Planning, Estimation and Control for Mobile Robot Localization with Application to Long-Term Autonomy.

Degree: PhD, Aerospace Engineering, 2018, Texas A&M University

 There may arise two kinds of challenges in the problem of mobile robot localization; (i) a robot may have an a priori map of its… (more)

Subjects/Keywords: robotics; navigation; autonomy; mobile robots

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APA (6th Edition):

Agarwal, S. (2018). Planning, Estimation and Control for Mobile Robot Localization with Application to Long-Term Autonomy. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173336

Chicago Manual of Style (16th Edition):

Agarwal, Saurav. “Planning, Estimation and Control for Mobile Robot Localization with Application to Long-Term Autonomy.” 2018. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/173336.

MLA Handbook (7th Edition):

Agarwal, Saurav. “Planning, Estimation and Control for Mobile Robot Localization with Application to Long-Term Autonomy.” 2018. Web. 03 Mar 2021.

Vancouver:

Agarwal S. Planning, Estimation and Control for Mobile Robot Localization with Application to Long-Term Autonomy. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/173336.

Council of Science Editors:

Agarwal S. Planning, Estimation and Control for Mobile Robot Localization with Application to Long-Term Autonomy. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173336


Texas A&M University

20. Kumar, Sandip. Generalized Sampling-Based Feedback Motion Planners.

Degree: PhD, Aerospace Engineering, 2012, Texas A&M University

 The motion planning problem can be formulated as a Markov decision process (MDP), if the uncertainties in the robot motion and environments can be modeled… (more)

Subjects/Keywords: Motion planning; Probabilistic RoadMaps (PRM); Semi-Markov Decision Process (SMDP); uncertainty, adaptive sampling; multi-agent motion planning problem; Multiple traveling salesman problem (MTSP); non-holonomic; heterogeneous agents; motion uncertainty; process uncertainty; collision detection; collision avoidance

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APA (6th Edition):

Kumar, S. (2012). Generalized Sampling-Based Feedback Motion Planners. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10663

Chicago Manual of Style (16th Edition):

Kumar, Sandip. “Generalized Sampling-Based Feedback Motion Planners.” 2012. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10663.

MLA Handbook (7th Edition):

Kumar, Sandip. “Generalized Sampling-Based Feedback Motion Planners.” 2012. Web. 03 Mar 2021.

Vancouver:

Kumar S. Generalized Sampling-Based Feedback Motion Planners. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10663.

Council of Science Editors:

Kumar S. Generalized Sampling-Based Feedback Motion Planners. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10663


Texas A&M University

21. Brennan, Nicholas W. A Modular Networked System for Combined Fluidic, Electronic, and Thermal Control of a Multifunctional Reconfigurable Antenna Array.

Degree: MS, Electrical Engineering, 2014, Texas A&M University

 Recent work in the field of reconfigurable antennas has presented a variety of novel approaches to functionalizing antenna structures. In particular, fluidic & microfluidic strategies… (more)

Subjects/Keywords: reconfigurable antenna; multifunctional antenna array; phased array; beam forming; beam steering; PID; cognitive antenna; fluid antenna; thermal-infrared; infrared; thermoregulation; thermal signature; heat signature; networked control; phased array; beamforming; direction of arrival; polarization reconfiguration; patch antenna; cosmix; liquid metal

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APA (6th Edition):

Brennan, N. W. (2014). A Modular Networked System for Combined Fluidic, Electronic, and Thermal Control of a Multifunctional Reconfigurable Antenna Array. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157915

Chicago Manual of Style (16th Edition):

Brennan, Nicholas W. “A Modular Networked System for Combined Fluidic, Electronic, and Thermal Control of a Multifunctional Reconfigurable Antenna Array.” 2014. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/157915.

MLA Handbook (7th Edition):

Brennan, Nicholas W. “A Modular Networked System for Combined Fluidic, Electronic, and Thermal Control of a Multifunctional Reconfigurable Antenna Array.” 2014. Web. 03 Mar 2021.

Vancouver:

Brennan NW. A Modular Networked System for Combined Fluidic, Electronic, and Thermal Control of a Multifunctional Reconfigurable Antenna Array. [Internet] [Masters thesis]. Texas A&M University; 2014. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/157915.

Council of Science Editors:

Brennan NW. A Modular Networked System for Combined Fluidic, Electronic, and Thermal Control of a Multifunctional Reconfigurable Antenna Array. [Masters Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/157915


Texas A&M University

22. Janisch, Brian Scott. Receding Horizon Control for Uncertain Pursuit-Evasion Games.

Degree: MS, Aerospace Engineering, 2016, Texas A&M University

 A robust technique for handling parameter and strategy uncertainty in a pursuit-evasion framework is developed. The method is a receding horizon controller valid for problem… (more)

Subjects/Keywords: receding horizon control; model predictive control; pursuit-evasion; pursuit and evasion; hardware; uncertain; optimal control; game theory; differential game

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APA (6th Edition):

Janisch, B. S. (2016). Receding Horizon Control for Uncertain Pursuit-Evasion Games. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/158019

Chicago Manual of Style (16th Edition):

Janisch, Brian Scott. “Receding Horizon Control for Uncertain Pursuit-Evasion Games.” 2016. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/158019.

MLA Handbook (7th Edition):

Janisch, Brian Scott. “Receding Horizon Control for Uncertain Pursuit-Evasion Games.” 2016. Web. 03 Mar 2021.

Vancouver:

Janisch BS. Receding Horizon Control for Uncertain Pursuit-Evasion Games. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/158019.

Council of Science Editors:

Janisch BS. Receding Horizon Control for Uncertain Pursuit-Evasion Games. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/158019


Texas A&M University

23. Narang, Anshu. Analysis and Control of Non-Affine, Non-Standard, Singularly Perturbed Systems.

Degree: PhD, Aerospace Engineering, 2012, Texas A&M University

 This dissertation addresses the control problem for the general class of control non-affine, non-standard singularly perturbed continuous-time systems. The problem of control for nonlinear multiple… (more)

Subjects/Keywords: Tracking and regulation; Flight control; Non-Minimum phase systems; Singular perturbations; Multiple time scale; Nonlinear control theory

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APA (6th Edition):

Narang, A. (2012). Analysis and Control of Non-Affine, Non-Standard, Singularly Perturbed Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148104

Chicago Manual of Style (16th Edition):

Narang, Anshu. “Analysis and Control of Non-Affine, Non-Standard, Singularly Perturbed Systems.” 2012. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/148104.

MLA Handbook (7th Edition):

Narang, Anshu. “Analysis and Control of Non-Affine, Non-Standard, Singularly Perturbed Systems.” 2012. Web. 03 Mar 2021.

Vancouver:

Narang A. Analysis and Control of Non-Affine, Non-Standard, Singularly Perturbed Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/148104.

Council of Science Editors:

Narang A. Analysis and Control of Non-Affine, Non-Standard, Singularly Perturbed Systems. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148104


Texas A&M University

24. Weisman, Ryan Michael 1984-. Nonlinear Transformations and Filtering Theory for Space Operations.

Degree: PhD, Aerospace Engineering, 2012, Texas A&M University

 Decisions for asset allocation and protection are predicated upon accurate knowledge of the current operating environment as well as correctly characterizing the evolution of the… (more)

Subjects/Keywords: filter initialization; uncertainty estimation; bayesian filtering; nonlinear estimation; space surveillance

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APA (6th Edition):

Weisman, R. M. 1. (2012). Nonlinear Transformations and Filtering Theory for Space Operations. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148211

Chicago Manual of Style (16th Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/148211.

MLA Handbook (7th Edition):

Weisman, Ryan Michael 1984-. “Nonlinear Transformations and Filtering Theory for Space Operations.” 2012. Web. 03 Mar 2021.

Vancouver:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/148211.

Council of Science Editors:

Weisman RM1. Nonlinear Transformations and Filtering Theory for Space Operations. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148211


Texas A&M University

25. Elliott, Matthew Stuart. Distributed Control of HVAC&R Networks.

Degree: PhD, Mechanical Engineering, 2013, Texas A&M University

 Heating, ventilation, air conditioning, and refrigeration (HVAC&R) systems are a major component of worldwide energy consumption, and frequently consist of complex networks of interconnected components.… (more)

Subjects/Keywords: Control systems; building controls; energy savings

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APA (6th Edition):

Elliott, M. S. (2013). Distributed Control of HVAC&R Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151089

Chicago Manual of Style (16th Edition):

Elliott, Matthew Stuart. “Distributed Control of HVAC&R Networks.” 2013. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/151089.

MLA Handbook (7th Edition):

Elliott, Matthew Stuart. “Distributed Control of HVAC&R Networks.” 2013. Web. 03 Mar 2021.

Vancouver:

Elliott MS. Distributed Control of HVAC&R Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/151089.

Council of Science Editors:

Elliott MS. Distributed Control of HVAC&R Networks. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151089


Texas A&M University

26. Rogers, Cameron Tyler. Modular Heterogeneous Multi-Agent Control Framework with Integrated Payloads.

Degree: MS, Aerospace Engineering, 2017, Texas A&M University

 Small unmanned aircraft are being used in an increasing number of applications ranging from emergency response to parcel delivery. Many of these applications are benefited… (more)

Subjects/Keywords: Multi-agent control; UAV; UAS

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APA (6th Edition):

Rogers, C. T. (2017). Modular Heterogeneous Multi-Agent Control Framework with Integrated Payloads. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165970

Chicago Manual of Style (16th Edition):

Rogers, Cameron Tyler. “Modular Heterogeneous Multi-Agent Control Framework with Integrated Payloads.” 2017. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/165970.

MLA Handbook (7th Edition):

Rogers, Cameron Tyler. “Modular Heterogeneous Multi-Agent Control Framework with Integrated Payloads.” 2017. Web. 03 Mar 2021.

Vancouver:

Rogers CT. Modular Heterogeneous Multi-Agent Control Framework with Integrated Payloads. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/165970.

Council of Science Editors:

Rogers CT. Modular Heterogeneous Multi-Agent Control Framework with Integrated Payloads. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165970

27. Harris, Matthew Wade. Extremal Fields and Neighboring Optimal Control of Constrained Systems.

Degree: MS, Aerospace Engineering, 2012, Texas A&M University

 This work provides first and second-order expressions to approximate neighboring solutions to the m-point boundary value problem. Multi-point problems arise in optimal control because of… (more)

Subjects/Keywords: extremal field; neighboring optimal control

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APA (6th Edition):

Harris, M. W. (2012). Extremal Fields and Neighboring Optimal Control of Constrained Systems. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8748

Chicago Manual of Style (16th Edition):

Harris, Matthew Wade. “Extremal Fields and Neighboring Optimal Control of Constrained Systems.” 2012. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8748.

MLA Handbook (7th Edition):

Harris, Matthew Wade. “Extremal Fields and Neighboring Optimal Control of Constrained Systems.” 2012. Web. 03 Mar 2021.

Vancouver:

Harris MW. Extremal Fields and Neighboring Optimal Control of Constrained Systems. [Internet] [Masters thesis]. Texas A&M University; 2012. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8748.

Council of Science Editors:

Harris MW. Extremal Fields and Neighboring Optimal Control of Constrained Systems. [Masters Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8748

28. May, James F. Extensible Software Architecture for a Distributed Engineering Simulation Facility.

Degree: MS, Aerospace Engineering, 2013, Texas A&M University

 A need has arisen for an easy-to-use, flexible, transparent, and cross-platform communication backbone for configuration and execution of distributed simulations and experiments. Open source, open… (more)

Subjects/Keywords: Software; Architecture; Software Architecture; Engineering; Aerospace; Distributed; Extensible; Simulation; hADES; Daemon

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APA (6th Edition):

May, J. F. (2013). Extensible Software Architecture for a Distributed Engineering Simulation Facility. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149329

Chicago Manual of Style (16th Edition):

May, James F. “Extensible Software Architecture for a Distributed Engineering Simulation Facility.” 2013. Masters Thesis, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/149329.

MLA Handbook (7th Edition):

May, James F. “Extensible Software Architecture for a Distributed Engineering Simulation Facility.” 2013. Web. 03 Mar 2021.

Vancouver:

May JF. Extensible Software Architecture for a Distributed Engineering Simulation Facility. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/149329.

Council of Science Editors:

May JF. Extensible Software Architecture for a Distributed Engineering Simulation Facility. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149329

29. Missel, Jonathan William. Active Space Debris Removal using Capture and Ejection.

Degree: PhD, Aerospace Engineering, 2013, Texas A&M University

 Low Earth Orbit is over-cluttered with rogue objects that threaten existing technological assets and interfere with allocating new ones. Traditional satellite missions are not efficient… (more)

Subjects/Keywords: Active; space; debris; removal; Sling-sat; sweeper

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APA (6th Edition):

Missel, J. W. (2013). Active Space Debris Removal using Capture and Ejection. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149391

Chicago Manual of Style (16th Edition):

Missel, Jonathan William. “Active Space Debris Removal using Capture and Ejection.” 2013. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/149391.

MLA Handbook (7th Edition):

Missel, Jonathan William. “Active Space Debris Removal using Capture and Ejection.” 2013. Web. 03 Mar 2021.

Vancouver:

Missel JW. Active Space Debris Removal using Capture and Ejection. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/149391.

Council of Science Editors:

Missel JW. Active Space Debris Removal using Capture and Ejection. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149391

30. Kirkpatrick, Kenton. Reinforcement Learning Control with Approximation of Time-Dependent Agent Dynamics.

Degree: PhD, Aerospace Engineering, 2013, Texas A&M University

 Reinforcement Learning has received a lot of attention over the years for systems ranging from static game playing to dynamic system control. Using Reinforcement Learning… (more)

Subjects/Keywords: Reinforcement Learning; Q-learning; Control; Dynamics; Multiagent; Machine Learning; Artificial Intelligence; Sampling; Sampled-Data Systems; System Identification

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APA (6th Edition):

Kirkpatrick, K. (2013). Reinforcement Learning Control with Approximation of Time-Dependent Agent Dynamics. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149493

Chicago Manual of Style (16th Edition):

Kirkpatrick, Kenton. “Reinforcement Learning Control with Approximation of Time-Dependent Agent Dynamics.” 2013. Doctoral Dissertation, Texas A&M University. Accessed March 03, 2021. http://hdl.handle.net/1969.1/149493.

MLA Handbook (7th Edition):

Kirkpatrick, Kenton. “Reinforcement Learning Control with Approximation of Time-Dependent Agent Dynamics.” 2013. Web. 03 Mar 2021.

Vancouver:

Kirkpatrick K. Reinforcement Learning Control with Approximation of Time-Dependent Agent Dynamics. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Mar 03]. Available from: http://hdl.handle.net/1969.1/149493.

Council of Science Editors:

Kirkpatrick K. Reinforcement Learning Control with Approximation of Time-Dependent Agent Dynamics. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149493

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