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You searched for +publisher:"Georgia Tech" +contributor:("Coogan, Samuel"). Showing records 1 – 15 of 15 total matches.

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Georgia Tech

1. Shukla, Ayush. Reinforcement learning based active localization for precise manipulation.

Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech

 Precision during positioning of a robot arm is inherently limited by the sensing capabilities of the robot. In the case of fully on-board sensing, this… (more)

Subjects/Keywords: Reinforcement learning; Robotics; Manipulation; Active localization

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APA (6th Edition):

Shukla, A. (2020). Reinforcement learning based active localization for precise manipulation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62712

Chicago Manual of Style (16th Edition):

Shukla, Ayush. “Reinforcement learning based active localization for precise manipulation.” 2020. Masters Thesis, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/62712.

MLA Handbook (7th Edition):

Shukla, Ayush. “Reinforcement learning based active localization for precise manipulation.” 2020. Web. 27 Feb 2021.

Vancouver:

Shukla A. Reinforcement learning based active localization for precise manipulation. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/62712.

Council of Science Editors:

Shukla A. Reinforcement learning based active localization for precise manipulation. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62712


Georgia Tech

2. Zhong, Hai. Congestion game-based task allocation for multi-robot teams.

Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech

 Multi-robot teams can complete complex missions that are not amenable to an individual robot. A team of heterogeneous robots with complementing capabilities is endowed with… (more)

Subjects/Keywords: Multi-robot systems; Task allocation; Congestion games

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APA (6th Edition):

Zhong, H. (2020). Congestion game-based task allocation for multi-robot teams. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62843

Chicago Manual of Style (16th Edition):

Zhong, Hai. “Congestion game-based task allocation for multi-robot teams.” 2020. Masters Thesis, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/62843.

MLA Handbook (7th Edition):

Zhong, Hai. “Congestion game-based task allocation for multi-robot teams.” 2020. Web. 27 Feb 2021.

Vancouver:

Zhong H. Congestion game-based task allocation for multi-robot teams. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/62843.

Council of Science Editors:

Zhong H. Congestion game-based task allocation for multi-robot teams. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62843


Georgia Tech

3. Mains, John B. Scheduling and assignment on dynamic processor networks.

Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech

 We address the problem of scheduling tasks characterized by dynamic completion time behavior. Existing scheduling methodologies reduce problems to using constant task durations and are… (more)

Subjects/Keywords: Multiprocessor scheduling; Time-varying duration; Satellite constellations; Mixed-integer programming

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APA (6th Edition):

Mains, J. B. (2020). Scheduling and assignment on dynamic processor networks. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63680

Chicago Manual of Style (16th Edition):

Mains, John B. “Scheduling and assignment on dynamic processor networks.” 2020. Masters Thesis, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/63680.

MLA Handbook (7th Edition):

Mains, John B. “Scheduling and assignment on dynamic processor networks.” 2020. Web. 27 Feb 2021.

Vancouver:

Mains JB. Scheduling and assignment on dynamic processor networks. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/63680.

Council of Science Editors:

Mains JB. Scheduling and assignment on dynamic processor networks. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63680


Georgia Tech

4. Dutreix, Maxence Dominique Henri. Verification and synthesis for stochastic systems with temporal logic specifications.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 The objective of this thesis is to first provide a formal framework for the verification of discrete-time, continuous-space stochastic systems with complex temporal specifications. Secondly,… (more)

Subjects/Keywords: Stochastic systems; Model checking; Finite-state abstractions; Temporal logic; Interval-valued markov chain

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APA (6th Edition):

Dutreix, M. D. H. (2020). Verification and synthesis for stochastic systems with temporal logic specifications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62820

Chicago Manual of Style (16th Edition):

Dutreix, Maxence Dominique Henri. “Verification and synthesis for stochastic systems with temporal logic specifications.” 2020. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/62820.

MLA Handbook (7th Edition):

Dutreix, Maxence Dominique Henri. “Verification and synthesis for stochastic systems with temporal logic specifications.” 2020. Web. 27 Feb 2021.

Vancouver:

Dutreix MDH. Verification and synthesis for stochastic systems with temporal logic specifications. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/62820.

Council of Science Editors:

Dutreix MDH. Verification and synthesis for stochastic systems with temporal logic specifications. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62820


Georgia Tech

5. You, Changxi. Autonomous aggressive driving: theory & experiments.

Degree: PhD, Department, 2020, Georgia Tech

 Autonomous vehicles represent a major trend in future intelligent transportation systems. In order to develop autonomous vehicles, this dissertation intends to understand expert driving maneuvers… (more)

Subjects/Keywords: Autonomous vehicle path; Path planning; System identification; Decision making; Overtaking; Rally racing

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APA (6th Edition):

You, C. (2020). Autonomous aggressive driving: theory & experiments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62872

Chicago Manual of Style (16th Edition):

You, Changxi. “Autonomous aggressive driving: theory & experiments.” 2020. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/62872.

MLA Handbook (7th Edition):

You, Changxi. “Autonomous aggressive driving: theory & experiments.” 2020. Web. 27 Feb 2021.

Vancouver:

You C. Autonomous aggressive driving: theory & experiments. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/62872.

Council of Science Editors:

You C. Autonomous aggressive driving: theory & experiments. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62872


Georgia Tech

6. Boidot, Emmanuel. Ambush games in discrete and continuous environments.

Degree: PhD, Aerospace Engineering, 2017, Georgia Tech

 We consider an autonomous navigation problem, whereby a traveler aims at traversing an environment in which an adversary sets an ambush. A two players zero-… (more)

Subjects/Keywords: Ambush games; Game theory; Motion planning; Continuous flow theory; Sampling-based motion planning

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APA (6th Edition):

Boidot, E. (2017). Ambush games in discrete and continuous environments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59244

Chicago Manual of Style (16th Edition):

Boidot, Emmanuel. “Ambush games in discrete and continuous environments.” 2017. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/59244.

MLA Handbook (7th Edition):

Boidot, Emmanuel. “Ambush games in discrete and continuous environments.” 2017. Web. 27 Feb 2021.

Vancouver:

Boidot E. Ambush games in discrete and continuous environments. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/59244.

Council of Science Editors:

Boidot E. Ambush games in discrete and continuous environments. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59244


Georgia Tech

7. Al Abri, Said Salim Hamdan S. A MULTI-LAYER SWARM CONTROL MODEL FOR INFORMATION PROPAGATION AND MULTI-TASKING.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 Modeling and control of multi-agent systems is an important problem due to its large variety of potential applications and increasing practical and theoretical challenges. A… (more)

Subjects/Keywords: multi-agent control; bio-inspired swarm control; source seeking; level curve tracking; information propagation

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APA (6th Edition):

Al Abri, S. S. H. S. (2019). A MULTI-LAYER SWARM CONTROL MODEL FOR INFORMATION PROPAGATION AND MULTI-TASKING. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63530

Chicago Manual of Style (16th Edition):

Al Abri, Said Salim Hamdan S. “A MULTI-LAYER SWARM CONTROL MODEL FOR INFORMATION PROPAGATION AND MULTI-TASKING.” 2019. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/63530.

MLA Handbook (7th Edition):

Al Abri, Said Salim Hamdan S. “A MULTI-LAYER SWARM CONTROL MODEL FOR INFORMATION PROPAGATION AND MULTI-TASKING.” 2019. Web. 27 Feb 2021.

Vancouver:

Al Abri SSHS. A MULTI-LAYER SWARM CONTROL MODEL FOR INFORMATION PROPAGATION AND MULTI-TASKING. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/63530.

Council of Science Editors:

Al Abri SSHS. A MULTI-LAYER SWARM CONTROL MODEL FOR INFORMATION PROPAGATION AND MULTI-TASKING. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/63530


Georgia Tech

8. Santos Fernandez, Maria Teresa. Coverage control: From heterogeneous robot teams to expressive swarms.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 Coverage control constitutes a canonical multi-robot coordination strategy that allows a collection of robots to distribute themselves over a domain to optimally monitor the relevant… (more)

Subjects/Keywords: Robotics; Systems and controls; Swarm robotics; Heterogeneous multi-robot systems; Robots and arts

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APA (6th Edition):

Santos Fernandez, M. T. (2020). Coverage control: From heterogeneous robot teams to expressive swarms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63690

Chicago Manual of Style (16th Edition):

Santos Fernandez, Maria Teresa. “Coverage control: From heterogeneous robot teams to expressive swarms.” 2020. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/63690.

MLA Handbook (7th Edition):

Santos Fernandez, Maria Teresa. “Coverage control: From heterogeneous robot teams to expressive swarms.” 2020. Web. 27 Feb 2021.

Vancouver:

Santos Fernandez MT. Coverage control: From heterogeneous robot teams to expressive swarms. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/63690.

Council of Science Editors:

Santos Fernandez MT. Coverage control: From heterogeneous robot teams to expressive swarms. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63690


Georgia Tech

9. Notomista, Gennaro. Long-duration robot autonomy: From control algorithms to robot design.

Degree: PhD, Mechanical Engineering, 2020, Georgia Tech

 The transition that robots are experiencing from controlled and often static working environments to unstructured and dynamic settings is unveiling the potential fragility of the… (more)

Subjects/Keywords: Robotics; Control theory; Long-term robot deployment

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APA (6th Edition):

Notomista, G. (2020). Long-duration robot autonomy: From control algorithms to robot design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63700

Chicago Manual of Style (16th Edition):

Notomista, Gennaro. “Long-duration robot autonomy: From control algorithms to robot design.” 2020. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/63700.

MLA Handbook (7th Edition):

Notomista, Gennaro. “Long-duration robot autonomy: From control algorithms to robot design.” 2020. Web. 27 Feb 2021.

Vancouver:

Notomista G. Long-duration robot autonomy: From control algorithms to robot design. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/63700.

Council of Science Editors:

Notomista G. Long-duration robot autonomy: From control algorithms to robot design. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63700


Georgia Tech

10. Young, Carol C. Quantitative Analysis of Adaptiveness and Consistency of a Class of Online Learning Algorithms.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 This thesis models online ensemble learning algorithms to obtain theoretical analyses of various performance metrics. Online ensemble learning algorithms often serve to learn unknown, possibly… (more)

Subjects/Keywords: Machine Learning; Markov chain; Learning algorithms

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APA (6th Edition):

Young, C. C. (2019). Quantitative Analysis of Adaptiveness and Consistency of a Class of Online Learning Algorithms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64012

Chicago Manual of Style (16th Edition):

Young, Carol C. “Quantitative Analysis of Adaptiveness and Consistency of a Class of Online Learning Algorithms.” 2019. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/64012.

MLA Handbook (7th Edition):

Young, Carol C. “Quantitative Analysis of Adaptiveness and Consistency of a Class of Online Learning Algorithms.” 2019. Web. 27 Feb 2021.

Vancouver:

Young CC. Quantitative Analysis of Adaptiveness and Consistency of a Class of Online Learning Algorithms. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/64012.

Council of Science Editors:

Young CC. Quantitative Analysis of Adaptiveness and Consistency of a Class of Online Learning Algorithms. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/64012


Georgia Tech

11. Yang, Xuejiao. Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques.

Degree: PhD, Chemical and Biomolecular Engineering, 2020, Georgia Tech

 In applications such as wind energy, industrial robotics, and chemical processing, increases in complexity and automation have made component malfunctions and other abnormal events (i.e.,… (more)

Subjects/Keywords: Set-based fault detection; reachability analysis; set-based state estimation

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APA (6th Edition):

Yang, X. (2020). Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64107

Chicago Manual of Style (16th Edition):

Yang, Xuejiao. “Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques.” 2020. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/64107.

MLA Handbook (7th Edition):

Yang, Xuejiao. “Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques.” 2020. Web. 27 Feb 2021.

Vancouver:

Yang X. Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/64107.

Council of Science Editors:

Yang X. Rapid and Accurate Fault Detection for Uncertain Nonlinear Systems Using Advanced Set-Based State Estimation Techniques. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64107


Georgia Tech

12. Srinivasan, Mohit. Synthesis of Barrier Certificate-Based Controllers for Safe Robotic Task Execution.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 Safety critical control applications are ubiquitous, and hence synthesizing control algorithms with formal guarantees on safety and task satisfaction is of great importance. Tasks such… (more)

Subjects/Keywords: Control barrier functions; Safety; Robotics; Quadratic programs; Control theory; Autonomous systems

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APA (6th Edition):

Srinivasan, M. (2020). Synthesis of Barrier Certificate-Based Controllers for Safe Robotic Task Execution. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64132

Chicago Manual of Style (16th Edition):

Srinivasan, Mohit. “Synthesis of Barrier Certificate-Based Controllers for Safe Robotic Task Execution.” 2020. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/64132.

MLA Handbook (7th Edition):

Srinivasan, Mohit. “Synthesis of Barrier Certificate-Based Controllers for Safe Robotic Task Execution.” 2020. Web. 27 Feb 2021.

Vancouver:

Srinivasan M. Synthesis of Barrier Certificate-Based Controllers for Safe Robotic Task Execution. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/64132.

Council of Science Editors:

Srinivasan M. Synthesis of Barrier Certificate-Based Controllers for Safe Robotic Task Execution. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64132

13. Olsen, Mark Ryan. Power-aware hybrid-dynamical approach to coverage control in multi-robot systems.

Degree: MS, Electrical and Computer Engineering, 2018, Georgia Tech

 This thesis develops an algorithm which allows robots in a multi-robot team to optimize for battery power while performing coverage control so as to maximize… (more)

Subjects/Keywords: Power; Robotics; Multi-robot; Coverage; Controls

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APA (6th Edition):

Olsen, M. R. (2018). Power-aware hybrid-dynamical approach to coverage control in multi-robot systems. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59940

Chicago Manual of Style (16th Edition):

Olsen, Mark Ryan. “Power-aware hybrid-dynamical approach to coverage control in multi-robot systems.” 2018. Masters Thesis, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/59940.

MLA Handbook (7th Edition):

Olsen, Mark Ryan. “Power-aware hybrid-dynamical approach to coverage control in multi-robot systems.” 2018. Web. 27 Feb 2021.

Vancouver:

Olsen MR. Power-aware hybrid-dynamical approach to coverage control in multi-robot systems. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/59940.

Council of Science Editors:

Olsen MR. Power-aware hybrid-dynamical approach to coverage control in multi-robot systems. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59940

14. Almubarak, Hassan A. Infinite horizon nonlinear quadratic cost regulator.

Degree: MS, Electrical and Computer Engineering, 2018, Georgia Tech

 Infinite horizon optimal control has been a leading methodology for both linear and nonlinear systems. The Hamilton-Jacobi-Bellman (HJB) approach is a very effective approach for… (more)

Subjects/Keywords: Nonlinear control; Optimal control; Hamilton-Jacobi-Bellman; Infinite horizon; Feedback control

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APA (6th Edition):

Almubarak, H. A. (2018). Infinite horizon nonlinear quadratic cost regulator. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60821

Chicago Manual of Style (16th Edition):

Almubarak, Hassan A. “Infinite horizon nonlinear quadratic cost regulator.” 2018. Masters Thesis, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/60821.

MLA Handbook (7th Edition):

Almubarak, Hassan A. “Infinite horizon nonlinear quadratic cost regulator.” 2018. Web. 27 Feb 2021.

Vancouver:

Almubarak HA. Infinite horizon nonlinear quadratic cost regulator. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/60821.

Council of Science Editors:

Almubarak HA. Infinite horizon nonlinear quadratic cost regulator. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60821

15. Glotfelter, Paul. Specification composition and controller synthesis for robotic systems.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 From precision agriculture to autonomous-transportation systems, robotic systems have been proposed to accomplish a number of tasks. However, these systems typically require satisfaction of multiple… (more)

Subjects/Keywords: Boolean composition; Nonsmooth analysis; Differential inclusions; Multi-robot systems; Robotic systems; Collision avoidance; Leader follower

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APA (6th Edition):

Glotfelter, P. (2019). Specification composition and controller synthesis for robotic systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61238

Chicago Manual of Style (16th Edition):

Glotfelter, Paul. “Specification composition and controller synthesis for robotic systems.” 2019. Doctoral Dissertation, Georgia Tech. Accessed February 27, 2021. http://hdl.handle.net/1853/61238.

MLA Handbook (7th Edition):

Glotfelter, Paul. “Specification composition and controller synthesis for robotic systems.” 2019. Web. 27 Feb 2021.

Vancouver:

Glotfelter P. Specification composition and controller synthesis for robotic systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1853/61238.

Council of Science Editors:

Glotfelter P. Specification composition and controller synthesis for robotic systems. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61238

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