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You searched for +publisher:"University of Arizona" +contributor:("Butcher, Eric"). Showing records 1 – 9 of 9 total matches.

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University of Arizona

1. Wenn, Chad. Lyapunov-Based Control of Coupled Translational-Rotational Close-Proximity Spacecraft Dynamics and Docking .

Degree: 2017, University of Arizona

 This work presents a non-linear control strategy for the docking of two spacecraft in a leader-follower orbit pattern. The chief craft is assumed to be… (more)

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APA (6th Edition):

Wenn, C. (2017). Lyapunov-Based Control of Coupled Translational-Rotational Close-Proximity Spacecraft Dynamics and Docking . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/626389

Chicago Manual of Style (16th Edition):

Wenn, Chad. “Lyapunov-Based Control of Coupled Translational-Rotational Close-Proximity Spacecraft Dynamics and Docking .” 2017. Masters Thesis, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/626389.

MLA Handbook (7th Edition):

Wenn, Chad. “Lyapunov-Based Control of Coupled Translational-Rotational Close-Proximity Spacecraft Dynamics and Docking .” 2017. Web. 20 Feb 2019.

Vancouver:

Wenn C. Lyapunov-Based Control of Coupled Translational-Rotational Close-Proximity Spacecraft Dynamics and Docking . [Internet] [Masters thesis]. University of Arizona; 2017. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/626389.

Council of Science Editors:

Wenn C. Lyapunov-Based Control of Coupled Translational-Rotational Close-Proximity Spacecraft Dynamics and Docking . [Masters Thesis]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626389


University of Arizona

2. Burnett, Ethan Ryan. Relative Orbital Motion Dynamical Models for Orbits about Nonspherical Bodies .

Degree: 2018, University of Arizona

 Relative orbital motion dynamical models are presented and discussed. Two types of models are primarily discussed in this work: a linear relative motion model accounting… (more)

Subjects/Keywords: aerospace; asteroids; astrodynamics; celestial mechanics; orbital mechanics; spacecraft

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APA (6th Edition):

Burnett, E. R. (2018). Relative Orbital Motion Dynamical Models for Orbits about Nonspherical Bodies . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/628098

Chicago Manual of Style (16th Edition):

Burnett, Ethan Ryan. “Relative Orbital Motion Dynamical Models for Orbits about Nonspherical Bodies .” 2018. Masters Thesis, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/628098.

MLA Handbook (7th Edition):

Burnett, Ethan Ryan. “Relative Orbital Motion Dynamical Models for Orbits about Nonspherical Bodies .” 2018. Web. 20 Feb 2019.

Vancouver:

Burnett ER. Relative Orbital Motion Dynamical Models for Orbits about Nonspherical Bodies . [Internet] [Masters thesis]. University of Arizona; 2018. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/628098.

Council of Science Editors:

Burnett ER. Relative Orbital Motion Dynamical Models for Orbits about Nonspherical Bodies . [Masters Thesis]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/628098


University of Arizona

3. Yaylali, David. Fractional Control of Multivehicle Systems and Relative Orbits .

Degree: 2018, University of Arizona

 Cooperative control protocols can be formulated for systems comprising multiple independent agents which can share information. In this work I will consider the cooperative control… (more)

Subjects/Keywords: Consensus Control; Cooperative Control; Fractional Control; Multivehicle Consensis; Relative Orbits and Control; Second-Order Consensus

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APA (6th Edition):

Yaylali, D. (2018). Fractional Control of Multivehicle Systems and Relative Orbits . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/631415

Chicago Manual of Style (16th Edition):

Yaylali, David. “Fractional Control of Multivehicle Systems and Relative Orbits .” 2018. Masters Thesis, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/631415.

MLA Handbook (7th Edition):

Yaylali, David. “Fractional Control of Multivehicle Systems and Relative Orbits .” 2018. Web. 20 Feb 2019.

Vancouver:

Yaylali D. Fractional Control of Multivehicle Systems and Relative Orbits . [Internet] [Masters thesis]. University of Arizona; 2018. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/631415.

Council of Science Editors:

Yaylali D. Fractional Control of Multivehicle Systems and Relative Orbits . [Masters Thesis]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/631415


University of Arizona

4. Law, Andrew M. Relative Optical Navigation around Small Bodies via Extreme Learning Machines .

Degree: 2015, University of Arizona

 To perform close proximity operations under a low-gravity environment, relative and absolute positions are vital information to the maneuver. Hence navigation is inseparably integrated in… (more)

Subjects/Keywords: Extreme Learning Machine; Navigation; Neural Network; Relative Optical Navigation; Small Bodies; Aerospace Engineering; Artificial Intelligence

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APA (6th Edition):

Law, A. M. (2015). Relative Optical Navigation around Small Bodies via Extreme Learning Machines . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/593622

Chicago Manual of Style (16th Edition):

Law, Andrew M. “Relative Optical Navigation around Small Bodies via Extreme Learning Machines .” 2015. Masters Thesis, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/593622.

MLA Handbook (7th Edition):

Law, Andrew M. “Relative Optical Navigation around Small Bodies via Extreme Learning Machines .” 2015. Web. 20 Feb 2019.

Vancouver:

Law AM. Relative Optical Navigation around Small Bodies via Extreme Learning Machines . [Internet] [Masters thesis]. University of Arizona; 2015. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/593622.

Council of Science Editors:

Law AM. Relative Optical Navigation around Small Bodies via Extreme Learning Machines . [Masters Thesis]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/593622


University of Arizona

5. Mueting, Joel Robert. Application of a Near-Optimal Feedback Guidance Algorithm to Spacecraft in Dynamically Complex Environments .

Degree: 2017, University of Arizona

 A near-optimal feedback guidance algorithm is applied to several different applications in the Circular-Restricted Three Body Problem and in proximity operations in LEO modeled by… (more)

Subjects/Keywords: Spaceflight; Optimal Guidance

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APA (6th Edition):

Mueting, J. R. (2017). Application of a Near-Optimal Feedback Guidance Algorithm to Spacecraft in Dynamically Complex Environments . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/622903

Chicago Manual of Style (16th Edition):

Mueting, Joel Robert. “Application of a Near-Optimal Feedback Guidance Algorithm to Spacecraft in Dynamically Complex Environments .” 2017. Masters Thesis, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/622903.

MLA Handbook (7th Edition):

Mueting, Joel Robert. “Application of a Near-Optimal Feedback Guidance Algorithm to Spacecraft in Dynamically Complex Environments .” 2017. Web. 20 Feb 2019.

Vancouver:

Mueting JR. Application of a Near-Optimal Feedback Guidance Algorithm to Spacecraft in Dynamically Complex Environments . [Internet] [Masters thesis]. University of Arizona; 2017. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/622903.

Council of Science Editors:

Mueting JR. Application of a Near-Optimal Feedback Guidance Algorithm to Spacecraft in Dynamically Complex Environments . [Masters Thesis]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/622903


University of Arizona

6. Campbell, Tanner. A Deep Learning Approach to Autonomous Relative Terrain Navigation .

Degree: 2017, University of Arizona

 Autonomous relative terrain navigation is a problem at the forefront of many space missions involving close proximity operations to any target body. With no definitive… (more)

Subjects/Keywords: Artificial Intelligence; Autonomous Navigation; Convolutional Neural Network; Deep Neural Network; Relative Terrain Navigation; Spacecraft GNC

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APA (6th Edition):

Campbell, T. (2017). A Deep Learning Approach to Autonomous Relative Terrain Navigation . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/626706

Chicago Manual of Style (16th Edition):

Campbell, Tanner. “A Deep Learning Approach to Autonomous Relative Terrain Navigation .” 2017. Masters Thesis, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/626706.

MLA Handbook (7th Edition):

Campbell, Tanner. “A Deep Learning Approach to Autonomous Relative Terrain Navigation .” 2017. Web. 20 Feb 2019.

Vancouver:

Campbell T. A Deep Learning Approach to Autonomous Relative Terrain Navigation . [Internet] [Masters thesis]. University of Arizona; 2017. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/626706.

Council of Science Editors:

Campbell T. A Deep Learning Approach to Autonomous Relative Terrain Navigation . [Masters Thesis]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626706


University of Arizona

7. Dabiri, Arman. Stability and Control of Fractional-order Systems with Delays and Periodic Coefficients .

Degree: 2018, University of Arizona

 This dissertation addresses various problems in numerical methods, stability, and control of fractional-order differential equations associated with delays and periodic coefficients. For this purpose, first,… (more)

Subjects/Keywords: fractional calculus; numerical method; periodic differential equations; spectral method; stability and control; time-delay system

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APA (6th Edition):

Dabiri, A. (2018). Stability and Control of Fractional-order Systems with Delays and Periodic Coefficients . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/628414

Chicago Manual of Style (16th Edition):

Dabiri, Arman. “Stability and Control of Fractional-order Systems with Delays and Periodic Coefficients .” 2018. Doctoral Dissertation, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/628414.

MLA Handbook (7th Edition):

Dabiri, Arman. “Stability and Control of Fractional-order Systems with Delays and Periodic Coefficients .” 2018. Web. 20 Feb 2019.

Vancouver:

Dabiri A. Stability and Control of Fractional-order Systems with Delays and Periodic Coefficients . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/628414.

Council of Science Editors:

Dabiri A. Stability and Control of Fractional-order Systems with Delays and Periodic Coefficients . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/628414

8. Wibben, Daniel R. Development, Analysis, and Testing of Robust Nonlinear Guidance Algorithms for Space Applications .

Degree: 2015, University of Arizona

 This work focuses on the analysis and application of various nonlinear, autonomous guidance algorithms that utilize sliding mode control to guarantee system stability and robustness.… (more)

Subjects/Keywords: Systems & Industrial Engineering

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APA (6th Edition):

Wibben, D. R. (2015). Development, Analysis, and Testing of Robust Nonlinear Guidance Algorithms for Space Applications . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/577355

Chicago Manual of Style (16th Edition):

Wibben, Daniel R. “Development, Analysis, and Testing of Robust Nonlinear Guidance Algorithms for Space Applications .” 2015. Doctoral Dissertation, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/577355.

MLA Handbook (7th Edition):

Wibben, Daniel R. “Development, Analysis, and Testing of Robust Nonlinear Guidance Algorithms for Space Applications .” 2015. Web. 20 Feb 2019.

Vancouver:

Wibben DR. Development, Analysis, and Testing of Robust Nonlinear Guidance Algorithms for Space Applications . [Internet] [Doctoral dissertation]. University of Arizona; 2015. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/577355.

Council of Science Editors:

Wibben DR. Development, Analysis, and Testing of Robust Nonlinear Guidance Algorithms for Space Applications . [Doctoral Dissertation]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/577355


University of Arizona

9. Wang, Jingwei. Sequential Estimation of Spacecraft Relative Orbits: Improving Observability with Nonlinearities, Chief Eccentricity, and Consensus Feedback .

Degree: 2018, University of Arizona

 This dissertation addresses the problem of spacecraft relative orbit estimation using a various of estimation strategies. To study the effects of incorporating nonlinearities and the… (more)

Subjects/Keywords: Consensus Estimation; Geometric Mechanics; Kalman Filtering; Observability; Spacecraft Relative Motion

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APA (6th Edition):

Wang, J. (2018). Sequential Estimation of Spacecraft Relative Orbits: Improving Observability with Nonlinearities, Chief Eccentricity, and Consensus Feedback . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/630197

Chicago Manual of Style (16th Edition):

Wang, Jingwei. “Sequential Estimation of Spacecraft Relative Orbits: Improving Observability with Nonlinearities, Chief Eccentricity, and Consensus Feedback .” 2018. Doctoral Dissertation, University of Arizona. Accessed February 20, 2019. http://hdl.handle.net/10150/630197.

MLA Handbook (7th Edition):

Wang, Jingwei. “Sequential Estimation of Spacecraft Relative Orbits: Improving Observability with Nonlinearities, Chief Eccentricity, and Consensus Feedback .” 2018. Web. 20 Feb 2019.

Vancouver:

Wang J. Sequential Estimation of Spacecraft Relative Orbits: Improving Observability with Nonlinearities, Chief Eccentricity, and Consensus Feedback . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2019 Feb 20]. Available from: http://hdl.handle.net/10150/630197.

Council of Science Editors:

Wang J. Sequential Estimation of Spacecraft Relative Orbits: Improving Observability with Nonlinearities, Chief Eccentricity, and Consensus Feedback . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/630197

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