Andrew Kurdila
Orcid: 0000-0002-9042-5146
According to our database1,
Andrew Kurdila
authored at least 53 papers
between 2004 and 2024.
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Bibliography
2024
Rates of Convergence in a Class of Native Spaces for Reinforcement Learning and Control.
IEEE Control. Syst. Lett., 2024
2023
IEEE Trans. Autom. Control., October, 2023
Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques.
IEEE Trans. Autom. Control., February, 2023
IEEE Control. Syst. Lett., 2023
Rates of Convergence in Certain Native Spaces of Approximations used in Reinforcement Learning.
CoRR, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Learning Theory Convergence Rates for Observers and Controllers in Native Space Embedding.
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
2022
Koopman Methods for Estimation of Animal Motions over Unknown, Regularly Embedded Submanifolds.
CoRR, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Koopman Methods for Estimation of Motion over Unknown, Regularly Embedded Submanifolds.
Proceedings of the American Control Conference, 2022
Collaborative Persistent Excitation in RKHS Embedded Adaptive Estimation with Consensus.
Proceedings of the American Control Conference, 2022
2021
Strictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels.
CoRR, 2021
2020
CoRR, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Persistence of Excitation in Uniformly Embedded Reproducing Kernel Hilbert (RKH) Spaces.
Proceedings of the 2020 American Control Conference, 2020
2019
Persistence of Excitation in Reproducing Kernel Hilbert Spaces, Positive Limit Sets, and Smooth Manifolds.
CoRR, 2019
Adv. Comput. Math., 2019
Proceedings of the 17th European Control Conference, 2019
2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Piezoelectric composite subordinate oscillator arrays and frequency response shaping for passive vibration attenuation.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Error estimates for multiwavelet approximations of a class of history dependent operators.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Adaptive control for flapping wing robots with history dependent, unsteady aerodynamics.
Proceedings of the American Control Conference, 2015
2013
J. Intell. Robotic Syst., 2013
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
2012
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
2011
A receding horizon approach to generating dynamically feasible plans for vehicles that operate over large areas.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
A graph theoretical approach toward a switched feedback controller for pursuit-evasion scenarios.
Proceedings of the American Control Conference, 2011
2010
A receding horizon controller for motion planning in the presence of moving obstacles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
A real-time grid map generation and object classification for ground-based 3D LIDAR data using image analysis techniques.
Proceedings of the International Conference on Image Processing, 2010
Geometric ergodicity of the distributional consensus problem in vehicle network control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Near-Optimal Approximation Rates for Distribution Free Learning with Exponentially, Mixing Observations.
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2009
Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding.
IEEE Trans. Neural Networks, 2009
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
A hybrid receding horizon control method for path planning in uncertain environments.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
L1 adaptive controller for air-breathing hypersonic vehicle with flexible body dynamics.
Proceedings of the American Control Conference, 2009
2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Nonlinear flight control in the presence of structural changes and external disturbances.
Proceedings of the American Control Conference, 2008
2007
Analysis of local observability for feature localization in a maritime environment using an omnidirectional camera.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
Vision-based geometry estimation and receding horizon path planning for UAVs operating in urban environments.
Proceedings of the American Control Conference, 2006
2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004