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University of Florida

1. Franklin, Adam J. Trajectory Optimization Using Pseudospectral Methods for a Multiple Autonomous Underwater Vehicle Target Tracking Problem.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044152

► In this work, a method is presented for solving a multiple AUV target tracking problem using pseudospectral methods. The multiple AUV target tracking problem involves…
(more)

Subjects/Keywords: Boundary conditions; Collision avoidance; Cost control; Cost efficiency; Cost functions; Equations of motion; Optimal control; Position tracking; Textual collocation; Trajectories; auv – control – optimal – pseudospectral – trajectory

Record Details Similar Records

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

APA (6^{th} Edition):

Franklin, A. J. (2012). Trajectory Optimization Using Pseudospectral Methods for a Multiple Autonomous Underwater Vehicle Target Tracking Problem. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044152

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

Franklin, Adam J. “Trajectory Optimization Using Pseudospectral Methods for a Multiple Autonomous Underwater Vehicle Target Tracking Problem.” 2012. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0044152.

MLA Handbook (7^{th} Edition):

Franklin, Adam J. “Trajectory Optimization Using Pseudospectral Methods for a Multiple Autonomous Underwater Vehicle Target Tracking Problem.” 2012. Web. 17 Oct 2019.

Vancouver:

Franklin AJ. Trajectory Optimization Using Pseudospectral Methods for a Multiple Autonomous Underwater Vehicle Target Tracking Problem. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0044152.

Council of Science Editors:

Franklin AJ. Trajectory Optimization Using Pseudospectral Methods for a Multiple Autonomous Underwater Vehicle Target Tracking Problem. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044152

University of Florida

2. Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.

Degree: MS, Aerospace Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043086

► The main feature of this paper is the incorporation of Artificial Neural Networks (ANN) to accelerate the processing time of Genetic Algorithms (GA). In this…
(more)

Subjects/Keywords: Approximation; Crossovers; Design engineering; Design optimization; Genetic algorithms; Mathematical vectors; Neural networks; Optimal solutions; Range searching; Trajectories; genetic – neural – optimization

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APA (6^{th} Edition):

Nambi,Sara. (2011). Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043086

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

Author name may be incomplete

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

Nambi,Sara. “Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.” 2011. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0043086.

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

Author name may be incomplete

MLA Handbook (7^{th} Edition):

Nambi,Sara. “Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks.” 2011. Web. 17 Oct 2019.

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

Author name may be incomplete

Vancouver:

Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0043086.

Author name may be incomplete

Council of Science Editors:

Nambi,Sara. Optimal Control and Design Using Genetic Algorithm Accelerated by Neural Networks. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043086

Author name may be incomplete

University of Florida

3. Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043437

► In this work, a new algorithm is proposed for automatic differentiation. The new algorithm uses object-oriented MATLAB to generate multi-dimensional derivatives. This work combines the…
(more)

Subjects/Keywords: Algorithms; Composite functions; Derivative works; Mathematical constants; Mathematical independent variables; Mathematical variables; Mathematical vectors; Matrices; Nonlinear programming; Scalars

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APA (6^{th} Edition):

Ying,Lin. (2011). Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043437

Author name may be incomplete

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

Ying,Lin. “Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.” 2011. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0043437.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

Ying,Lin. “Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems.” 2011. Web. 17 Oct 2019.

Author name may be incomplete

Vancouver:

Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0043437.

Author name may be incomplete

Council of Science Editors:

Ying,Lin. Automatic Differentiation for First and Second Derivative for Solving Nonlinear Programming Problems. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043437

Author name may be incomplete

University of Florida

4. Senses, Begum. Minimum-Fuel Finite Thrust Low-Earth Orbit Aeroassisted Orbital Transfer of Small Spacecraft.

Degree: MS, Aerospace Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043797

► In this study, minimum fuel solutions to finite thrust noncoplanar aeroassisted orbital transfers of a small spacecraft between two low-Earth orbits are found using General…
(more)

Subjects/Keywords: Aircraft maneuvers; Altitude; Atmospherics; Flight paths; Heating; Low earth orbits; Sine function; Spacecraft; Textual collocation; Transfer orbits; aeroassisted – finite – fuel – leo – minimum – noncoplanar – orbital – small – spacecraft – thrust – transfer

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APA (6^{th} Edition):

Senses, B. (2011). Minimum-Fuel Finite Thrust Low-Earth Orbit Aeroassisted Orbital Transfer of Small Spacecraft. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043797

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

Senses, Begum. “Minimum-Fuel Finite Thrust Low-Earth Orbit Aeroassisted Orbital Transfer of Small Spacecraft.” 2011. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0043797.

MLA Handbook (7^{th} Edition):

Senses, Begum. “Minimum-Fuel Finite Thrust Low-Earth Orbit Aeroassisted Orbital Transfer of Small Spacecraft.” 2011. Web. 17 Oct 2019.

Vancouver:

Senses B. Minimum-Fuel Finite Thrust Low-Earth Orbit Aeroassisted Orbital Transfer of Small Spacecraft. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0043797.

Council of Science Editors:

Senses B. Minimum-Fuel Finite Thrust Low-Earth Orbit Aeroassisted Orbital Transfer of Small Spacecraft. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043797

University of Florida

5. Cannataro, Begum. Graph Coarsening Methods for Karush-Kuhn-Tucker Matrices Arising in Orthogonal Collocation of Optimal Control Problems.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049059

► A state-defect constraint pairing graph coarsening method is described for improving computational efficiency during the numerical factorization of large sparse Karush-Kuhn-Tucker matrices that arise from…
(more)

Subjects/Keywords: Factorization; Grid refinement; Jacobians; Lagrangian function; Linear systems; Matrices; Optimal control; Simulations; Term weighting; Textual collocation; coarsening – delayed – kkt – lgr – pivots – sparse

Record Details Similar Records

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APA (6^{th} Edition):

Cannataro, B. (2015). Graph Coarsening Methods for Karush-Kuhn-Tucker Matrices Arising in Orthogonal Collocation of Optimal Control Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049059

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

Cannataro, Begum. “Graph Coarsening Methods for Karush-Kuhn-Tucker Matrices Arising in Orthogonal Collocation of Optimal Control Problems.” 2015. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0049059.

MLA Handbook (7^{th} Edition):

Cannataro, Begum. “Graph Coarsening Methods for Karush-Kuhn-Tucker Matrices Arising in Orthogonal Collocation of Optimal Control Problems.” 2015. Web. 17 Oct 2019.

Vancouver:

Cannataro B. Graph Coarsening Methods for Karush-Kuhn-Tucker Matrices Arising in Orthogonal Collocation of Optimal Control Problems. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0049059.

Council of Science Editors:

Cannataro B. Graph Coarsening Methods for Karush-Kuhn-Tucker Matrices Arising in Orthogonal Collocation of Optimal Control Problems. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049059

University of Florida

6. Hurley, Ryan. Three-Dimensional Trajectory Generation for Flight Within an Obstacle Rich Environment.

Degree: MS, Aerospace Engineering - Mechanical and Aerospace Engineering, 2009, University of Florida

URL: http://ufdc.ufl.edu/UFE0024478

► Autonomous flight through urban environments requires methods to generate trajectories that traverse the region and its associated obstacles. This thesis introduces the development of a…
(more)

Subjects/Keywords: Aircraft maneuvers; City planning; Kinetics; Robotics; Simulations; Trajectories; Travel time; Tree growth; Vehicles; Walkways; aerial, air, airplane, autonomous, avoidance, bridge, building, city, dense, dimension, dimensional, dubins, hurley, lind, mav, micro, obstacle, path, planning, random, ryan, structure, three, trajectory, tree, two, uav, unmanned, urban, vehicle

Record Details Similar Records

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

APA (6^{th} Edition):

Hurley, R. (2009). Three-Dimensional Trajectory Generation for Flight Within an Obstacle Rich Environment. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024478

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

Hurley, Ryan. “Three-Dimensional Trajectory Generation for Flight Within an Obstacle Rich Environment.” 2009. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0024478.

MLA Handbook (7^{th} Edition):

Hurley, Ryan. “Three-Dimensional Trajectory Generation for Flight Within an Obstacle Rich Environment.” 2009. Web. 17 Oct 2019.

Vancouver:

Hurley R. Three-Dimensional Trajectory Generation for Flight Within an Obstacle Rich Environment. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0024478.

Council of Science Editors:

Hurley R. Three-Dimensional Trajectory Generation for Flight Within an Obstacle Rich Environment. [Masters Thesis]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024478

University of Florida

7. Graham, Kathryn F. Trajectory Optimization of Low-Thrust Orbit Transfers.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049591

► Since the world's first artificial satellite, the Sputnik 1, completed its first orbit around the Earth, we have persistently been developing new technology with an…
(more)

Subjects/Keywords: Apocenter; Initial guess; Optimal control; Orbitals; Orbits; Periapsis; Semimajor axis; Spacecraft; Textual collocation; Trajectories; low-thrust – orbit-transfers – trajectory-optimization

Record Details Similar Records

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

APA (6^{th} Edition):

Graham, K. F. (2015). Trajectory Optimization of Low-Thrust Orbit Transfers. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049591

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

Graham, Kathryn F. “Trajectory Optimization of Low-Thrust Orbit Transfers.” 2015. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0049591.

MLA Handbook (7^{th} Edition):

Graham, Kathryn F. “Trajectory Optimization of Low-Thrust Orbit Transfers.” 2015. Web. 17 Oct 2019.

Vancouver:

Graham KF. Trajectory Optimization of Low-Thrust Orbit Transfers. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0049591.

Council of Science Editors:

Graham KF. Trajectory Optimization of Low-Thrust Orbit Transfers. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049591

University of Florida

8. Garg,Divya. Advances in Global Pseudospectral Methods for Optimal Control.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043196

► A new pseudospectral method that employs global collocation at the Legendre-Gauss-Radau (LGR) points is presented for direct trajectory optimization and costate estimation of finite-horizon optimal…
(more)

Subjects/Keywords: Approximation; Boundary conditions; Cost functions; Degrees of polynomials; Error rates; Matrices; Necessary conditions for optimality; Optimal control; Polynomials; Textual collocation

Record Details Similar Records

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

APA (6^{th} Edition):

Garg,Divya. (2011). Advances in Global Pseudospectral Methods for Optimal Control. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043196

Author name may be incomplete

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

Garg,Divya. “Advances in Global Pseudospectral Methods for Optimal Control.” 2011. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0043196.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

Garg,Divya. “Advances in Global Pseudospectral Methods for Optimal Control.” 2011. Web. 17 Oct 2019.

Author name may be incomplete

Vancouver:

Garg,Divya. Advances in Global Pseudospectral Methods for Optimal Control. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0043196.

Author name may be incomplete

Council of Science Editors:

Garg,Divya. Advances in Global Pseudospectral Methods for Optimal Control. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043196

Author name may be incomplete

University of Florida

9. Francolin, Camila C. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045808

► Costate estimation is an important step in the numerical solution of optimal control problems as it provides a reliable way of verifying the optimality of…
(more)

Subjects/Keywords: Approximation; Cost estimates; Degrees of polynomials; Estimation methods; Matrices; Necessary conditions for optimality; Optimal control; Point estimators; Polynomials; Textual collocation; control – costate – estimation – gaussian – optimal – quaerature

Record Details Similar Records

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

APA (6^{th} Edition):

Francolin, C. C. (2013). Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045808

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

Francolin, Camila C. “Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.” 2013. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0045808.

MLA Handbook (7^{th} Edition):

Francolin, Camila C. “Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points.” 2013. Web. 17 Oct 2019.

Vancouver:

Francolin CC. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0045808.

Council of Science Editors:

Francolin CC. Costate Estimation in Optimal Control Problems Using Orthogonal Collocation at Gaussian Quadrature Points. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045808

University of Florida

10. Li, Lingmin. Computational Simulation of Knee Osteoarthritis Development.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0043664

► Though changes in normal joint motions and loads (e.g., following anterior cruciate ligament injury) contribute to the development of knee osteoarthritis, the precise mechanism by…
(more)

Subjects/Keywords: Anterior cruciate ligament; Articular cartilage; Bones; Cartilage; Femur; Kinematics; Knee joint; Knees; Modeling; Simulations; cartilage-adaptation – elastic-foundation-model – finite-element-model – knee-joint – osteoarthritis

Record Details Similar Records

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

APA (6^{th} Edition):

Li, L. (2014). Computational Simulation of Knee Osteoarthritis Development. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043664

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

Li, Lingmin. “Computational Simulation of Knee Osteoarthritis Development.” 2014. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0043664.

MLA Handbook (7^{th} Edition):

Li, Lingmin. “Computational Simulation of Knee Osteoarthritis Development.” 2014. Web. 17 Oct 2019.

Vancouver:

Li L. Computational Simulation of Knee Osteoarthritis Development. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0043664.

Council of Science Editors:

Li L. Computational Simulation of Knee Osteoarthritis Development. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0043664

University of Florida

11. Patterson, Michael A. Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045236

► In a direct collocation method, a continuous-time optimal control problem is transcribed to a finite-dimensional nonlinear programming problem. Solving this nonlinear programming problem as efficiently…
(more)

Subjects/Keywords: Approximation; Boundary conditions; Error rates; Grid refinement; Jacobians; Lagrangian function; Optimal control; Polynomials; Software; Textual collocation; control – optimal

Record Details Similar Records

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

APA (6^{th} Edition):

Patterson, M. A. (2013). Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045236

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

Patterson, Michael A. “Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods.” 2013. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0045236.

MLA Handbook (7^{th} Edition):

Patterson, Michael A. “Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods.” 2013. Web. 17 Oct 2019.

Vancouver:

Patterson MA. Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0045236.

Council of Science Editors:

Patterson MA. Efficient Solutions to Nonlinear Optimal Control Problems using Adaptive Mesh Orthogonal Collocation Methods. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045236

University of Florida

12. Fuchs, Zachariah E. Cooperative Control Strategies and Deception in Adversarial Systems.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044608

► The protection of vulnerable, high-value assets has been a challenge throughout history. These high-value targets may be fixed, mobile, or in the cloud. In any…
(more)

Subjects/Keywords: Adjoints; Cost functions; Differential games; Game theory; Linear programming; Mathematical variables; Optimal control; Sensors; Sine function; Trajectories; control – cooperative – deception – game

Record Details Similar Records

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

APA (6^{th} Edition):

Fuchs, Z. E. (2012). Cooperative Control Strategies and Deception in Adversarial Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044608

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

Fuchs, Zachariah E. “Cooperative Control Strategies and Deception in Adversarial Systems.” 2012. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0044608.

MLA Handbook (7^{th} Edition):

Fuchs, Zachariah E. “Cooperative Control Strategies and Deception in Adversarial Systems.” 2012. Web. 17 Oct 2019.

Vancouver:

Fuchs ZE. Cooperative Control Strategies and Deception in Adversarial Systems. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0044608.

Council of Science Editors:

Fuchs ZE. Cooperative Control Strategies and Deception in Adversarial Systems. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044608

University of Florida

13. Walter, Jonathan Paul. Emg-Based Muscle Force Estimation.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

URL: http://ufdc.ufl.edu/UFE0044612

► Excessive contact forces in the medial compartment of the knee during walking are believed to progress articular cartilage damage in osteoarthritis. Abnormally large adduction moments…
(more)

Subjects/Keywords: Contact loads; Electromyography; Error rates; Gait; Knees; Modeling; Muscles; Parametric models; Signals; Tendons; biomechanics – contact – emg – implant – knee – muscles – optimization – osteoarthritis

Record Details Similar Records

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APA (6^{th} Edition):

Walter, J. P. (2012). Emg-Based Muscle Force Estimation. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044612

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

Walter, Jonathan Paul. “Emg-Based Muscle Force Estimation.” 2012. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0044612.

MLA Handbook (7^{th} Edition):

Walter, Jonathan Paul. “Emg-Based Muscle Force Estimation.” 2012. Web. 17 Oct 2019.

Vancouver:

Walter JP. Emg-Based Muscle Force Estimation. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0044612.

Council of Science Editors:

Walter JP. Emg-Based Muscle Force Estimation. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044612

University of Florida

14. Kamalapurkar, Rushikesh L. Model-Based Reinforcement Learning for Online Approximate Optimal Control.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2014, University of Florida

URL: http://ufdc.ufl.edu/UFE0047163

► The objective of an optimal control synthesis problem is to compute the policy that an agent should follow in order to maximize the accumulated reward.…
(more)

Subjects/Keywords: Approximation; Differential games; Error rates; Identifiers; Liapunov functions; Mathematical independent variables; Optimal control; Signals; Simulations; Trajectories; adaptive – control – learning – lyapunov – nonlinear – optimal – reinforcement

Record Details Similar Records

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

APA (6^{th} Edition):

Kamalapurkar, R. L. (2014). Model-Based Reinforcement Learning for Online Approximate Optimal Control. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047163

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

Kamalapurkar, Rushikesh L. “Model-Based Reinforcement Learning for Online Approximate Optimal Control.” 2014. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0047163.

MLA Handbook (7^{th} Edition):

Kamalapurkar, Rushikesh L. “Model-Based Reinforcement Learning for Online Approximate Optimal Control.” 2014. Web. 17 Oct 2019.

Vancouver:

Kamalapurkar RL. Model-Based Reinforcement Learning for Online Approximate Optimal Control. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0047163.

Council of Science Editors:

Kamalapurkar RL. Model-Based Reinforcement Learning for Online Approximate Optimal Control. [Doctoral Dissertation]. University of Florida; 2014. Available from: http://ufdc.ufl.edu/UFE0047163

University of Florida

15. Hungerford, James T. The Vertex Separator Problem and Edge-Concave Quadratic Programming.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045834

► The vertex separator problem on a graph G is to find the smallest set of vertices whose removal breaks the graph into two disconnected subsets…
(more)

Subjects/Keywords: Algorithms; Integers; Linear programming; Mathematics; Necessary conditions for optimality; Objective functions; Polyhedrons; Polynomials; Separators; Vertices; algorithm – complexity – continuous – convex – discrete – multilevel – optimization

Record Details Similar Records

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APA (6^{th} Edition):

Hungerford, J. T. (2013). The Vertex Separator Problem and Edge-Concave Quadratic Programming. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045834

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

Hungerford, James T. “The Vertex Separator Problem and Edge-Concave Quadratic Programming.” 2013. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0045834.

MLA Handbook (7^{th} Edition):

Hungerford, James T. “The Vertex Separator Problem and Edge-Concave Quadratic Programming.” 2013. Web. 17 Oct 2019.

Vancouver:

Hungerford JT. The Vertex Separator Problem and Edge-Concave Quadratic Programming. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0045834.

Council of Science Editors:

Hungerford JT. The Vertex Separator Problem and Edge-Concave Quadratic Programming. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045834

University of Florida

16. Goyal, Siddharth. Modeling and Control Algorithms to Improve Energy Efficiency in Buildings.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045729

► In this dissertation, we address the problem of how to improve energy efficiency of buildings while maintaining a comfortable and healthy indoor climate with minimum…
(more)

Subjects/Keywords: Dynamic modeling; Energy consumption; Feedback control; Flow velocity; Humidity; Modeling; Simulations; Temperature control; Temperature ratio; Thigh; control – hvac – model-reduction – modeling – mpc – optimization – predictive-control

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

APA (6^{th} Edition):

Goyal, S. (2013). Modeling and Control Algorithms to Improve Energy Efficiency in Buildings. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045729

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

Goyal, Siddharth. “Modeling and Control Algorithms to Improve Energy Efficiency in Buildings.” 2013. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0045729.

MLA Handbook (7^{th} Edition):

Goyal, Siddharth. “Modeling and Control Algorithms to Improve Energy Efficiency in Buildings.” 2013. Web. 17 Oct 2019.

Vancouver:

Goyal S. Modeling and Control Algorithms to Improve Energy Efficiency in Buildings. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0045729.

Council of Science Editors:

Goyal S. Modeling and Control Algorithms to Improve Energy Efficiency in Buildings. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045729

University of Florida

17. Leve, Frederick. Novel Steering and Control Algorithms for Single-Gimbal Control Moment Gyroscopes.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2010, University of Florida

URL: http://ufdc.ufl.edu/UFE0042129

► NOVEL STEERING AND CONTROL ALGORITHMS FOR SINGLE-GIMBAL CONTROL MOMENT GYROSCOPES The research presented in this manuscript attempts to first systematically solve the SGCMG steering and…
(more)

Subjects/Keywords: Acceleration; Angular momentum; Gimbals; Gyroscopes; Jacobians; Momentum; Simulations; Spacecraft; Steering; Torque; attitude, control, elliptic, hyperbolic, singularities, small, steering

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

APA (6^{th} Edition):

Leve, F. (2010). Novel Steering and Control Algorithms for Single-Gimbal Control Moment Gyroscopes. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042129

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

Leve, Frederick. “Novel Steering and Control Algorithms for Single-Gimbal Control Moment Gyroscopes.” 2010. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0042129.

MLA Handbook (7^{th} Edition):

Leve, Frederick. “Novel Steering and Control Algorithms for Single-Gimbal Control Moment Gyroscopes.” 2010. Web. 17 Oct 2019.

Vancouver:

Leve F. Novel Steering and Control Algorithms for Single-Gimbal Control Moment Gyroscopes. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0042129.

Council of Science Editors:

Leve F. Novel Steering and Control Algorithms for Single-Gimbal Control Moment Gyroscopes. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042129

18. Weinstein, Matthew J. Source Transformation via Operator Overloading for Algorithmic Differentiation in Matlab.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0047841

► The problem of computing accurate and efficient derivatives is one of great importance in the field of numerical analysis. The research of this dissertation is…
(more)

Subjects/Keywords: Algorithms; Control loops; Jacobians; Mathematical variables; Mathematical vectors; Matrices; Optimal control; Software; Telluric lines; Textual collocation; algorithmic – analysis – automatic – differentiation – matlab – numerical – source – transformation

…Abstract of Dissertation Presented to the Graduate School
of the *University* *of* *Florida* in Partial…

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

APA (6^{th} Edition):

Weinstein, M. J. (2015). Source Transformation via Operator Overloading for Algorithmic Differentiation in Matlab. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0047841

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

Weinstein, Matthew J. “Source Transformation via Operator Overloading for Algorithmic Differentiation in Matlab.” 2015. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0047841.

MLA Handbook (7^{th} Edition):

Weinstein, Matthew J. “Source Transformation via Operator Overloading for Algorithmic Differentiation in Matlab.” 2015. Web. 17 Oct 2019.

Vancouver:

Weinstein MJ. Source Transformation via Operator Overloading for Algorithmic Differentiation in Matlab. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0047841.

Council of Science Editors:

Weinstein MJ. Source Transformation via Operator Overloading for Algorithmic Differentiation in Matlab. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0047841

University of Florida

19. MOHAN,KRITHIKA. Optimal Path Planning and Trajectory Optimization for Multiple Aircraft Landing Using RRT Algorithm and Pseudospectral Methods.

Degree: MS, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0043075

Abstract of Thesis Presented to the Graduate School
*Advisors/Committee Members: Rao, Anil (committee chair), Dixon, Warren E (committee member).*

Subjects/Keywords: Aircraft; Aircraft landing; Algorithms; Cost functions; Flight paths; Optimal control; Textual collocation; Trajectories; Trajectory optimization; Vertices; 3D – AIRCRAFT – CONFLICT – CONSTRAINTS – CONTROL – DIMENSIONAL – GPOPS – GUESS – INITIAL – INITIALIZING – INTERSECTION – LANDING – MULTIPLE – NONLINEAR – OBSTACLES – OPTIMAL – OPTIMIZATION – PATH – PHASE – PLANNING – PROGRAMMING – PSEUDOSPECTRAL – RRT – SNOPT – THREE – TRAJECTORY

Record Details Similar Records

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

APA (6^{th} Edition):

MOHAN,KRITHIKA. (2011). Optimal Path Planning and Trajectory Optimization for Multiple Aircraft Landing Using RRT Algorithm and Pseudospectral Methods. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043075

Author name may be incomplete

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

MOHAN,KRITHIKA. “Optimal Path Planning and Trajectory Optimization for Multiple Aircraft Landing Using RRT Algorithm and Pseudospectral Methods.” 2011. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0043075.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

MOHAN,KRITHIKA. “Optimal Path Planning and Trajectory Optimization for Multiple Aircraft Landing Using RRT Algorithm and Pseudospectral Methods.” 2011. Web. 17 Oct 2019.

Author name may be incomplete

Vancouver:

MOHAN,KRITHIKA. Optimal Path Planning and Trajectory Optimization for Multiple Aircraft Landing Using RRT Algorithm and Pseudospectral Methods. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0043075.

Author name may be incomplete

Council of Science Editors:

MOHAN,KRITHIKA. Optimal Path Planning and Trajectory Optimization for Multiple Aircraft Landing Using RRT Algorithm and Pseudospectral Methods. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043075

Author name may be incomplete

University of Florida

20. Liu, Fengjin. Adaptive Mesh Refinement Methods for Solving Optimal Control Problems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2015, University of Florida

URL: http://ufdc.ufl.edu/UFE0049568

Subjects/Keywords: collocation-methods; differential-equations; mesh-refinement; optimal-control

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

APA (6^{th} Edition):

Liu, F. (2015). Adaptive Mesh Refinement Methods for Solving Optimal Control Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049568

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

Liu, Fengjin. “Adaptive Mesh Refinement Methods for Solving Optimal Control Problems.” 2015. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0049568.

MLA Handbook (7^{th} Edition):

Liu, Fengjin. “Adaptive Mesh Refinement Methods for Solving Optimal Control Problems.” 2015. Web. 17 Oct 2019.

Vancouver:

Liu F. Adaptive Mesh Refinement Methods for Solving Optimal Control Problems. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0049568.

Council of Science Editors:

Liu F. Adaptive Mesh Refinement Methods for Solving Optimal Control Problems. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049568

University of Florida

21.
Cornelison, Victoria.
Calculation of Ar-41 Concentrations for the *University* of *Florida* Training Reactor Using Atmospheric Dispersion Modeling Codes STAC2.1 and CALPUFF.

Degree: MS, Nuclear Engineering Sciences - Nuclear and Radiological Engineering, 2008, University of Florida

URL: http://ufdc.ufl.edu/UFE0022452

► This thesis combines atmospheric plume dispersion modeling and meteorological data to achieve an estimate of the downwind concentration of Ar-41 effluent during routine operation of…
(more)

Subjects/Keywords: Atmospheric models; Atmospherics; Dosage; Halls; Housing; Plumes; Slugs; Weather conditions; Wind direction; Wind velocity; argon, atmospheric, concentration, dispersion, limits, operations, reactor

Record Details Similar Records

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

APA (6^{th} Edition):

Cornelison, V. (2008). Calculation of Ar-41 Concentrations for the University of Florida Training Reactor Using Atmospheric Dispersion Modeling Codes STAC2.1 and CALPUFF. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0022452

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

Cornelison, Victoria. “Calculation of Ar-41 Concentrations for the University of Florida Training Reactor Using Atmospheric Dispersion Modeling Codes STAC2.1 and CALPUFF.” 2008. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0022452.

MLA Handbook (7^{th} Edition):

Cornelison, Victoria. “Calculation of Ar-41 Concentrations for the University of Florida Training Reactor Using Atmospheric Dispersion Modeling Codes STAC2.1 and CALPUFF.” 2008. Web. 17 Oct 2019.

Vancouver:

Cornelison V. Calculation of Ar-41 Concentrations for the University of Florida Training Reactor Using Atmospheric Dispersion Modeling Codes STAC2.1 and CALPUFF. [Internet] [Masters thesis]. University of Florida; 2008. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0022452.

Council of Science Editors:

Cornelison V. Calculation of Ar-41 Concentrations for the University of Florida Training Reactor Using Atmospheric Dispersion Modeling Codes STAC2.1 and CALPUFF. [Masters Thesis]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0022452

University of Florida

22. Bhat, Sanketh. Control-Oriented Analysis of Aerothermoelastic Effects for a Hypersonic Vehicle.

Degree: MS, Aerospace Engineering - Mechanical and Aerospace Engineering, 2008, University of Florida

URL: http://ufdc.ufl.edu/UFE0024107

► Hypersonic flight is seen as a feasible solution to make space travel faster, safer and more affordable. The design of the Air-breathing hypersonic vehicle is…
(more)

Subjects/Keywords: Damping; Design analysis; Design optimization; Dynamic structural analysis; Fuselages; Hypersonic aircraft; Hypersonics; Modeling; Temperature profiles; Vibration; aerothermoelasticity, control, hypersonic, parameter, varying

Record Details Similar Records

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

APA (6^{th} Edition):

Bhat, S. (2008). Control-Oriented Analysis of Aerothermoelastic Effects for a Hypersonic Vehicle. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024107

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

Bhat, Sanketh. “Control-Oriented Analysis of Aerothermoelastic Effects for a Hypersonic Vehicle.” 2008. Masters Thesis, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0024107.

MLA Handbook (7^{th} Edition):

Bhat, Sanketh. “Control-Oriented Analysis of Aerothermoelastic Effects for a Hypersonic Vehicle.” 2008. Web. 17 Oct 2019.

Vancouver:

Bhat S. Control-Oriented Analysis of Aerothermoelastic Effects for a Hypersonic Vehicle. [Internet] [Masters thesis]. University of Florida; 2008. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0024107.

Council of Science Editors:

Bhat S. Control-Oriented Analysis of Aerothermoelastic Effects for a Hypersonic Vehicle. [Masters Thesis]. University of Florida; 2008. Available from: http://ufdc.ufl.edu/UFE0024107

University of Florida

23. Munoz,Josue David. Rapid Path-Planning Algorithms for Autonomous Proximity Operations of Satellites.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0042882

Autonomous proximity operations (APOs) can be bifurcated into two phases: (i)
*Advisors/Committee Members: Fitz-Coy, Norman G (committee chair), Rao, Anil (committee member), Dixon, Warren E (committee member), Burks, Thomas F (committee member).*

Subjects/Keywords: Approximation; Artificial satellites; Harmonic functions; Optimal control; Quaternions; Reaction wheels; Spacecraft; Torque; Trajectories; Velocity; adaptive – algorithm – approach – artificial – autonomous – close – final – function – homotopy – maneuver – method – operation – path – picard – planning – potential – proximity – range – rapid – real – rendezvous – satellite – spacecraft – time – trajectory

Record Details Similar Records

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

APA (6^{th} Edition):

David, M. (2011). Rapid Path-Planning Algorithms for Autonomous Proximity Operations of Satellites. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042882

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

David, Munoz,Josue. “Rapid Path-Planning Algorithms for Autonomous Proximity Operations of Satellites.” 2011. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0042882.

MLA Handbook (7^{th} Edition):

David, Munoz,Josue. “Rapid Path-Planning Algorithms for Autonomous Proximity Operations of Satellites.” 2011. Web. 17 Oct 2019.

Vancouver:

David M. Rapid Path-Planning Algorithms for Autonomous Proximity Operations of Satellites. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0042882.

Council of Science Editors:

David M. Rapid Path-Planning Algorithms for Autonomous Proximity Operations of Satellites. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042882

University of Florida

24. DARBY,CHRISTOPHER LIU. hp-Pseudospectral Method for Solving Continuous-Time Nonlinear Optimal Control Problems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

URL: http://ufdc.ufl.edu/UFE0042778

In this dissertation, a direct hp-pseudospectral method for approximating the solution to nonlinear
*Advisors/Committee Members: Rao, Anil (committee chair), Dixon, Warren E (committee member), Fitz-Coy, Norman G (committee member), Hager, William W (committee member).*

Subjects/Keywords: Aircraft maneuvers; Approximation; Atmospherics; Degrees of polynomials; Heating; Necessary conditions for optimality; Optimal control; Polynomials; Textual collocation; Trajectories; CONTROL – MESH – METHODS – NUMERICAL – OPTIMAL – OPTIMIZATION – ORBIT – PSEUDOSPECTRAL – TRANSFER

Record Details Similar Records

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

APA (6^{th} Edition):

LIU, D. (2011). hp-Pseudospectral Method for Solving Continuous-Time Nonlinear Optimal Control Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042778

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

LIU, DARBY,CHRISTOPHER. “hp-Pseudospectral Method for Solving Continuous-Time Nonlinear Optimal Control Problems.” 2011. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0042778.

MLA Handbook (7^{th} Edition):

LIU, DARBY,CHRISTOPHER. “hp-Pseudospectral Method for Solving Continuous-Time Nonlinear Optimal Control Problems.” 2011. Web. 17 Oct 2019.

Vancouver:

LIU D. hp-Pseudospectral Method for Solving Continuous-Time Nonlinear Optimal Control Problems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0042778.

Council of Science Editors:

LIU D. hp-Pseudospectral Method for Solving Continuous-Time Nonlinear Optimal Control Problems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042778

University of Florida

25. Hou, Hongyan. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.

Degree: PhD, Mathematics, 2013, University of Florida

URL: http://ufdc.ufl.edu/UFE0045697

Subjects/Keywords: Approximation; Control theory; Degrees of polynomials; Gaussian quadratures; Interpolation; Matrices; Optimal control; Polynomials; Quadratic programming; Textual collocation; convergence; gaussian-collocation-mehtod; lebesgue-constant

Record Details Similar Records

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

APA (6^{th} Edition):

Hou, H. (2013). Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045697

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

Hou, Hongyan. “Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.” 2013. Doctoral Dissertation, University of Florida. Accessed October 17, 2019. http://ufdc.ufl.edu/UFE0045697.

MLA Handbook (7^{th} Edition):

Hou, Hongyan. “Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control.” 2013. Web. 17 Oct 2019.

Vancouver:

Hou H. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 17]. Available from: http://ufdc.ufl.edu/UFE0045697.

Council of Science Editors:

Hou H. Convergence Analysis of Orthogonal Collocation Methods for Unconstrained Optimal Control. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045697