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Levi DeVries
Math workbook, textbooks and pens


Journal articles

[J9] J. Dawkins and L. DeVries. Modelling, Steady Flight Analysis, and Trajectory Control of a Micro-Quadrotor with Aerofoils. Submitted

[J8] L. DeVries, A. Sims, and M. D.M. Kutzer. Kernel Design and Distributed, Self-triggered Control for Coordination of Autonomous Multi-agent Configurations. Submitted

[J7] L. DeVries, M. D.M. Kutzer, R. Richmond, and A. Bass.  Bio-inspired, Shape-adapting Underwater Vehicle: Design, Modeling, and Speed Regulating Control via Shape Actuation. Submitted

[J6] M. D.M. Kutzer and L. DeVries. Testbed for Multilayer Conformal Additive ManufacturingTechnologies, Special Issue on Additive Manufacturing Technologies and Applications. 5(2) 25, 2017. doi: 10.3390/technologies5020025

[J5] L. DeVries, D. A. Paley.  Wake Sensing and Estimation for Control of Autonomous Aircraft in Formation Flight. AIAA J. Guidance, Control, and Dynamics. 39(1) 32-41, 2016. doi:

[J4] L. DeVries, F. D. Lagor, H. Lei, X. Tan, and D. A. Paley. Distributed flow estimation and closed-loop control of an underwater vehicle with a multi-modal artificial lateral line. Bioinspiration & Biomimetics, 10(2):025002, 2015. doi:10.1088/1748-3190/10/2/025002

[J3] F. D. Lagor, L. DeVries, K. Waychoff, and D. A. Paley. Bio-inspired flow sensing and control: Autonomous rheotaxis using distributed pressure measurementsJ. Unmanned System Technologies, 1(3):78–88, 2013.

[J2] L. DeVries, S. J. Majumdar, and D. A. Paley. Observability-based optimization of coordinated sampling trajectories for recursive estimation of a strong, spatially varying flowfieldJ. Intelligent and Robotic Systems, 67(3-4):527–544, 2012.

[J1] L. DeVries and D. A. Paley. Multivehicle control in a strong flowfield with application to hurricane samplingAIAA J. Guidance, Control, and Dynamics, 35(3):794–806, 2012.

Conference papers

[C10] S. Johnson, R. Stroup, J.J. Gainer, L. DeVries, and M. D. M. Kutzer. Design of a Robotic Catch and Release Manipulation Architecture (CARMA), in Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2017.

[C9] M. Heaton, L. DeVries, and M. D. M. Kutzer. Randomized Path Optimization for the Mitigated Counter-Detection of UAVs. 2017 International Conference on Unmanned Aircraft Systems (ICUAS), Miami, FL, 2017, pp. 72-78.

[C8] K. S. Galloway and L. DeVries. State Observation and Parameter Estimation in Cyclic Pursuit Systems. 2016 IEEE 55th Conference on Decision and Control (CDC), Las Vegas, NV, 2016, pp. 1781-1786.

[C7] L. DeVries and M. D. M. Kutzer. Kernel design for coordination of autonomous, time-varying multi-agent configurations. American Control Conference (ACC), Boston, MA, 2016, pp. 1975-1980.

[C6] L. DeVries and D. A. Paley. Wake Estimation and Dynamic Control for Autonomous Aircraft in Formation Flight. In Proc. AIAA Conf. Guidance, Navigation, and Control, number AIAA-2013-4705, Boston, Massachusetts, August 2013.

[C5] F. D. Lagor, L. DeVries, K. Waychoff, and D. A. Paley. Bio-inspired flow sensing and control for autonomous underwater navigation using distributed pressure measurements. In Proc. 18th Int. Symp. Unmanned Untethered Submersible Tech., Portsmouth, New Hampshire, August 2013.

[C4] L. DeVries and D. A. Paley. Observability-based optimization for flow sensing and control of an underwater vehicle in a uniform flowfield. In Proc. American Control Conf., pages 1388–1393, Washington, District of Columbia, June 2013. Invited session on “Vehicle Control and Estimation in the Undersea Environment”.

[C3] L. DeVries and D. A. Paley. Dynamic Altitude Control for Motion Coordination in an Estimated Shear Flow. In Proc. AIAA Conf. Guidance, Navigation, and Control, number AIAA-2012-4696, Minneapolis, Minnesota, August 2012.

[C2] L. DeVries, S. Majumdar, and D. A. Paley. Observability-based Optimization of Coordinated Sampling Trajectories for Flowfield Estimation. In Proc. Int. Conf. Unmanned Aircraft Systems, Philadelphia, Pennsylvania, June 2012.

[C1] L. DeVries and D. A. Paley. Multi-vehicle control in a strong flowfield with application to hurricane samplingIn Proc. AIAA Conf. Guidance, Navigation, and Control, number AIAA-2011-6478, Portland, Oregon, August 2011.

[D1] L. DeVries, Observability-based Sampling and Estimation of Flowfields Using Multi-Sensor Systems, Ph.D. Dissertation, University of Maryland, 2014
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