Advanced search options

Sorted by: relevance · author · university · date | New search

You searched for `+publisher:"Penn State University" +contributor:("Robert Graham Melton, Thesis Advisor/Co-Advisor")`

.
Showing records 1 – 11 of
11 total matches.

▼ Search Limiters

Penn State University

1. Paik, Ghanghoon. Optimal Orbit Raising Via Particle Swarm Optimization .

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/25366

► A spacecraft in one orbit may need to move to another orbit. Apoapsis orbit raising, in particular, takes a spacecraft from a circular orbit to…
(more)

Subjects/Keywords: Astrodynamics; Orbit Raising; Particle Swarm Optimization; Trajectory Optimization

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Paik, G. (2015). Optimal Orbit Raising Via Particle Swarm Optimization . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25366

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Paik, Ghanghoon. “Optimal Orbit Raising Via Particle Swarm Optimization .” 2015. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/25366.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Paik, Ghanghoon. “Optimal Orbit Raising Via Particle Swarm Optimization .” 2015. Web. 15 Apr 2021.

Vancouver:

Paik G. Optimal Orbit Raising Via Particle Swarm Optimization . [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/25366.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Paik G. Optimal Orbit Raising Via Particle Swarm Optimization . [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25366

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

2. Sottile, Brad Joseph. Evolutionary Computation for Spacecraft Trajectory Optimization.

Degree: 2013, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/19135

► Evolutionary Computation has exploded in use in engineering and the applied sciences. For this *thesis*, three algorithms – Particle Swarm Optimization (PSO), Bacteria Foraging Optimization…
(more)

Subjects/Keywords: Astrodynamics; Evolutionary Algorithms; Evolutionary Computation; Evolutionary Strategies; Optimization; Spacecraft Trajectory

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Sottile, B. J. (2013). Evolutionary Computation for Spacecraft Trajectory Optimization. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19135

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Sottile, Brad Joseph. “Evolutionary Computation for Spacecraft Trajectory Optimization.” 2013. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/19135.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sottile, Brad Joseph. “Evolutionary Computation for Spacecraft Trajectory Optimization.” 2013. Web. 15 Apr 2021.

Vancouver:

Sottile BJ. Evolutionary Computation for Spacecraft Trajectory Optimization. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/19135.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sottile BJ. Evolutionary Computation for Spacecraft Trajectory Optimization. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/19135

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

3. Small, Jeffrey. Halo Orbit Design In The Circular Restricted Three-Body Problem Using Differential Evolution.

Degree: 2017, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/14758jus558

► The goal of halo orbit design is to find the initial conditions that lead to a periodic orbit with the desired characteristics. Conventionally, this is…
(more)

Subjects/Keywords: Halo Orbits; CR3BP; Differential Evolution

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Small, J. (2017). Halo Orbit Design In The Circular Restricted Three-Body Problem Using Differential Evolution. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14758jus558

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Small, Jeffrey. “Halo Orbit Design In The Circular Restricted Three-Body Problem Using Differential Evolution.” 2017. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/14758jus558.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Small, Jeffrey. “Halo Orbit Design In The Circular Restricted Three-Body Problem Using Differential Evolution.” 2017. Web. 15 Apr 2021.

Vancouver:

Small J. Halo Orbit Design In The Circular Restricted Three-Body Problem Using Differential Evolution. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/14758jus558.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Small J. Halo Orbit Design In The Circular Restricted Three-Body Problem Using Differential Evolution. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14758jus558

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

4. Nino, Michael. Time-optimal, constrained, satellite reorientation maneuver using inverse dynamics.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16364mnn12

► Being able to quickly reorient certain satellites, such as orbiting astronomical observatories, is critical to mission objectives. If an event of interest occurs, the goal…
(more)

Subjects/Keywords: Reorientation; Rigidbody Satellite; Satellite; Optimal Reorientation; PSO; Particle Swarm Optimization; Quaternion; Euler Angle; Optimal Control; Time Optimal Control; Michael Nino; Mike Nino; Melton; Dr. Melton; Robert G. Melton; Aerospace Engineering

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Nino, M. (2019). Time-optimal, constrained, satellite reorientation maneuver using inverse dynamics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16364mnn12

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Nino, Michael. “Time-optimal, constrained, satellite reorientation maneuver using inverse dynamics.” 2019. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/16364mnn12.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Nino, Michael. “Time-optimal, constrained, satellite reorientation maneuver using inverse dynamics.” 2019. Web. 15 Apr 2021.

Vancouver:

Nino M. Time-optimal, constrained, satellite reorientation maneuver using inverse dynamics. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/16364mnn12.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nino M. Time-optimal, constrained, satellite reorientation maneuver using inverse dynamics. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16364mnn12

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

5. Gueho, Damien. Learning Capabilities of Neural Network and Keplerian Dynamics.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16482djg76

► Machine learning and new artificial intelligence algorithms inspire the scientific community to explore and develop new approaches for discovery of scientific laws and governing equations…
(more)

Subjects/Keywords: Machine Learning; Artificial intelligence; Neural Network; capabilities; Learn; two-body problem; residual neural network; feed-forward neural network; dynamic system; dynamical system; approximation; prediction; recurrent model; data set

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Gueho, D. (2019). Learning Capabilities of Neural Network and Keplerian Dynamics. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16482djg76

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Gueho, Damien. “Learning Capabilities of Neural Network and Keplerian Dynamics.” 2019. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/16482djg76.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gueho, Damien. “Learning Capabilities of Neural Network and Keplerian Dynamics.” 2019. Web. 15 Apr 2021.

Vancouver:

Gueho D. Learning Capabilities of Neural Network and Keplerian Dynamics. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/16482djg76.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gueho D. Learning Capabilities of Neural Network and Keplerian Dynamics. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16482djg76

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

6. Goodyear, Andrew. Optimal low-thrust geostationary transfer orbit using a hybrid pseudospectral collocation method.

Degree: 2016, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/29467

► The focus of this *thesis* is a two-phase method for the solution of trajectory op- timization problems where a low-thrust ion engine is used for…
(more)

Subjects/Keywords: low-thrust; pseudospectral; trajectory optimization; geostationary; modified equinoctial elements

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Goodyear, A. (2016). Optimal low-thrust geostationary transfer orbit using a hybrid pseudospectral collocation method. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/29467

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Goodyear, Andrew. “Optimal low-thrust geostationary transfer orbit using a hybrid pseudospectral collocation method.” 2016. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/29467.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Goodyear, Andrew. “Optimal low-thrust geostationary transfer orbit using a hybrid pseudospectral collocation method.” 2016. Web. 15 Apr 2021.

Vancouver:

Goodyear A. Optimal low-thrust geostationary transfer orbit using a hybrid pseudospectral collocation method. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/29467.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Goodyear A. Optimal low-thrust geostationary transfer orbit using a hybrid pseudospectral collocation method. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/29467

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

7. Shaw, Matthew Joseph. Design of Interplanetary Trajectories with Multiple Synergetic Gravitational Assist Maneuvers via Particle Swarm Optimization.

Degree: 2018, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/15179mjs6300

► The design capacity for synergetic gravity assists (powered flyby's) changes the type of possible optimal trajectories to distant planets. Heuristic optimization methods have potential to…
(more)

Subjects/Keywords: orbital mechanics; interplanetary trajectory design; interplanetary travel; astrodynamics; space mission design; Particle Swarm Optimization; gravitational assist; multiple gravitational assist; gravity assist; multiple gravity assist; synergetic flyby; powered flyby; synergetic gravitational assist; synergetic gravity assist; powered gravitational assist; powered gravity assist; trajectory design

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Shaw, M. J. (2018). Design of Interplanetary Trajectories with Multiple Synergetic Gravitational Assist Maneuvers via Particle Swarm Optimization. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15179mjs6300

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Shaw, Matthew Joseph. “Design of Interplanetary Trajectories with Multiple Synergetic Gravitational Assist Maneuvers via Particle Swarm Optimization.” 2018. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/15179mjs6300.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Shaw, Matthew Joseph. “Design of Interplanetary Trajectories with Multiple Synergetic Gravitational Assist Maneuvers via Particle Swarm Optimization.” 2018. Web. 15 Apr 2021.

Vancouver:

Shaw MJ. Design of Interplanetary Trajectories with Multiple Synergetic Gravitational Assist Maneuvers via Particle Swarm Optimization. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/15179mjs6300.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shaw MJ. Design of Interplanetary Trajectories with Multiple Synergetic Gravitational Assist Maneuvers via Particle Swarm Optimization. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15179mjs6300

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

8. Patel, Khushboo. OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16526kbp5087

► This *thesis* presents a trajectory optimization problem for a lunar lander using Lambert’s solution with a Particle Swarm Optimization method. The goal of this *thesis*…
(more)

Subjects/Keywords: Multiple precision landings; Optimal trajectories

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Patel, K. (2019). OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16526kbp5087

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Patel, Khushboo. “OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION.” 2019. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/16526kbp5087.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Patel, Khushboo. “OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION.” 2019. Web. 15 Apr 2021.

Vancouver:

Patel K. OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/16526kbp5087.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patel K. OPTIMAL LANDING TRAJECTORIES ON THE MOON USING LAMBERT TARGETING AND PARTICLE SWARM OPTIMIZATION. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16526kbp5087

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

9. Azhar, Mohammad. Low Thrust Transfers between Halo Orbits in the Earth-Moon system.

Degree: 2019, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/16991msa5347

► Halo orbits are a special case of orbits, occurring as stable saddle points in the circular restricted 3-body problem, which considers the motion of a…
(more)

Subjects/Keywords: Low thrust; halo orbits; Earth-Moon System; transfers

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Azhar, M. (2019). Low Thrust Transfers between Halo Orbits in the Earth-Moon system. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16991msa5347

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Azhar, Mohammad. “Low Thrust Transfers between Halo Orbits in the Earth-Moon system.” 2019. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/16991msa5347.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Azhar, Mohammad. “Low Thrust Transfers between Halo Orbits in the Earth-Moon system.” 2019. Web. 15 Apr 2021.

Vancouver:

Azhar M. Low Thrust Transfers between Halo Orbits in the Earth-Moon system. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/16991msa5347.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Azhar M. Low Thrust Transfers between Halo Orbits in the Earth-Moon system. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16991msa5347

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

10. Davis, Elizabeth. SOLAR SAIL TRAJECTORY OPTIMIZATION USING COLLOCATION AND NSGA II.

Degree: 2008, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/8407

► Solar sail spacecraft rely solely on solar radiation pressure for propulsion. Since the acceleration received by radiation pressure increases as the spacecraft nears the Sun,…
(more)

Subjects/Keywords: solar sail; collocation; evolutionary algorithm; trajectory optimization; NAGA II

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Davis, E. (2008). SOLAR SAIL TRAJECTORY OPTIMIZATION USING COLLOCATION AND NSGA II. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8407

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Davis, Elizabeth. “SOLAR SAIL TRAJECTORY OPTIMIZATION USING COLLOCATION AND NSGA II.” 2008. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/8407.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Davis, Elizabeth. “SOLAR SAIL TRAJECTORY OPTIMIZATION USING COLLOCATION AND NSGA II.” 2008. Web. 15 Apr 2021.

Vancouver:

Davis E. SOLAR SAIL TRAJECTORY OPTIMIZATION USING COLLOCATION AND NSGA II. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/8407.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Davis E. SOLAR SAIL TRAJECTORY OPTIMIZATION USING COLLOCATION AND NSGA II. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8407

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

11. Tu, Chenmeng. Application of a Homotopy Method to Low-Thrust Trajectory Optimization.

Degree: 2008, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/8862

► Continuous optimization methods, historically classified into direct and indirect method categories, have demonstrated notable success in continuous-thrust trajectory optimization. An optimization problem is transformed into…
(more)

Subjects/Keywords: Trajectory Optimization; Low-Thrust; Homotopy Method

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Tu, C. (2008). Application of a Homotopy Method to Low-Thrust Trajectory Optimization. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8862

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Tu, Chenmeng. “Application of a Homotopy Method to Low-Thrust Trajectory Optimization.” 2008. Thesis, Penn State University. Accessed April 15, 2021. https://submit-etda.libraries.psu.edu/catalog/8862.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tu, Chenmeng. “Application of a Homotopy Method to Low-Thrust Trajectory Optimization.” 2008. Web. 15 Apr 2021.

Vancouver:

Tu C. Application of a Homotopy Method to Low-Thrust Trajectory Optimization. [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Apr 15]. Available from: https://submit-etda.libraries.psu.edu/catalog/8862.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tu C. Application of a Homotopy Method to Low-Thrust Trajectory Optimization. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8862

Not specified: Masters Thesis or Doctoral Dissertation