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ORCIDAndrew Kurdila
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Journal Articles
- 2024
[j10]Andrew J. Kurdila, Andrea L'Afflitto, John A. Burns, Haoran Wang:
Nonparametric adaptive control in native spaces: Finite-dimensional implementations, Part II. Annu. Rev. Control. 58: 100968 (2024)- [j9]Andrew J. Kurdila, Andrea L'Afflitto, John A. Burns, Haoran Wang:
Nonparametric adaptive control in native spaces: A DPS framework (Part I). Annu. Rev. Control. 58: 100969 (2024) - [j8]Ali Bouland
, Shengyuan Niu, Sai Tej Paruchuri, Andrew Kurdila, John A. Burns, Eugenio Schuster:
Rates of Convergence in a Class of Native Spaces for Reinforcement Learning and Control. IEEE Control. Syst. Lett. 8: 55-60 (2024) - [j7]Shengyuan Niu, Ali Bouland, Haoran Wang, Filippos Fotiadis, Andrew Kurdila, Andrea L'Afflitto, Sai Tej Paruchuri, Kyriakos G. Vamvoudakis:
Convergence Rates of Online Critic Value Function Approximation in Native Spaces. IEEE Control. Syst. Lett. 8: 2145-2150 (2024) - 2023
- [j6]Haoran Wang, Brian Scurlock, Nathan Powell, Andrea L'Afflitto, Andrew J. Kurdila:
MRAC With Adaptive Uncertainty Bounds via Operator-Valued Reproducing Kernels. IEEE Control. Syst. Lett. 7: 3771-3776 (2023) - [j5]Sai Tej Paruchuri, Jia Guo, Andrew Kurdila:
Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques. IEEE Trans. Autom. Control. 68(2): 753-765 (2023) - [j4]Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila:
Partial Persistence of Excitation in RKHS Embedded Adaptive Estimation. IEEE Trans. Autom. Control. 68(10): 5850-5861 (2023) - 2019
- [j3]Parag Bobade, Suprotim Majumdar, Savio Pereira, Andrew J. Kurdila, John B. Ferris:
Adaptive estimation for nonlinear systems using reproducing kernel Hilbert spaces. Adv. Comput. Math. 45(2): 869-896 (2019) - 2013
- [j2]Bin Xu, Daniel J. Stilwell, Andrew Kurdila:
Fast Path Re-planning Based on Fast Marching and Level Sets. J. Intell. Robotic Syst. 71(3-4): 303-317 (2013) - 2009
- [j1]Vahram Stepanyan, Andrew Kurdila:
Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding. IEEE Trans. Neural Networks 20(8): 1320-1329 (2009)
Conference and Workshop Papers
- 2024
- [c42]Nathan Powell, Andrew J. Kurdila, Andrea L'Afflitto, Haoran Wang, Jia Guo:
Newton Bases and Event-Triggered Adaptive Control in Native Spaces. ACC 2024: 1586-1591 - [c41]Nathan Powell, Sai Tej Paruchuri, Ali Bouland, Shengyuan Niu, Andrew Kurdila:
Invariance and Approximation of Koopman Operators in Native Spaces. ACC 2024: 2871-2878 - 2023
- [c40]John A. Burns, Andrew Kurdila, Derek Oesterheld, Daniel J. Stilwell, Haoran Wang:
Learning Theory Convergence Rates for Observers and Controllers in Native Space Embedding. ACC 2023: 979-986 - [c39]John A. Burns, Jia Guo, Andrew J. Kurdila, Sai Tej Paruchuri, Haoran Wang:
Error Bounds for Native Space Embedding Observers with Operator-Valued Kernels. ACC 2023: 4796-4801 - [c38]Derek I. Oesterheld, Daniel J. Stilwell, Andrew J. Kurdila, Jia Guo:
A Model Reference Adaptive Controller Based on Operator-Valued Kernel Functions. CDC 2023: 521-528 - [c37]Nathan Powell, Ali Bouland, John A. Burns, Andrew Kurdila:
Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems. CDC 2023: 657-664 - [c36]Haoran Wang, Nathan Powell, Andrea L'Afflitto, Andrew J. Kurdila, John A. Burns:
The Power Function for Adaptive Control in Native Space Embedding. CDC 2023: 1943-1948 - 2022
- [c35]Nathan Powell, Bowei Liu, Andrew J. Kurdila:
Koopman Methods for Estimation of Motion over Unknown, Regularly Embedded Submanifolds. ACC 2022: 2584-2591 - [c34]Jia Guo, Fumin Zhang, Andrew J. Kurdila:
Collaborative Persistent Excitation in RKHS Embedded Adaptive Estimation with Consensus. ACC 2022: 3388-3393 - [c33]Nathan Powell, Roger Liu, Jia Guo, Sai Tej Paruchuri, John A. Burns, Boone Estes, Andrew J. Kurdila:
Approximation of Koopman Operators: Irregular Domains and Positive Orbits. CDC 2022: 4732-4739 - 2020
- [c32]Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila:
Persistence of Excitation in Uniformly Embedded Reproducing Kernel Hilbert (RKH) Spaces. ACC 2020: 4539-4544 - [c31]Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila:
Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds. CDC 2020: 1596-1601 - [c30]Sai Tej Paruchuri, Jia Guo, Michael E. Kepler, Tim Ryan, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell:
Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds. CDC 2020: 1608-1613 - [c29]Nathan Powell, Andrew J. Kurdila:
Learning Theory for Estimation of Animal Motion Submanifolds. CDC 2020: 4941-4946 - 2019
- [c28]Parag Bobade, Dimitra Panagou, Andrew J. Kurdila:
Multi-agent adaptive estimation with consensus in reproducing kernel Hilbert spaces. ECC 2019: 572-577 - 2017
- [c27]Shirin Dadashi, Hunter G. McClelland, Andrew Kurdila:
Learning theory and empirical potentials for modeling discrete mechanics. ACC 2017: 4466-4472 - [c26]Parag Bobade, Suprotim Majumdar, Savio Pereira, Andrew J. Kurdila, John B. Ferris:
Adaptive estimation in reproducing kernel Hilbert spaces. ACC 2017: 5678-5683 - [c25]Sai Tej Paruchuri, John Sterling, Andrew Kurdila, Joseph Vignola:
Piezoelectric composite subordinate oscillator arrays and frequency response shaping for passive vibration attenuation. CCTA 2017: 702-707 - [c24]Matthew J. Bender, Xu Yang, Hui Chen, Andrew Kurdila, Rolf Müller:
Gaussian process dynamic modeling of bat flapping flight. ICIP 2017: 4542-4546 - 2016
- [c23]Shirin Dadashi, Parag Bobade, Andrew J. Kurdila:
Error estimates for multiwavelet approximations of a class of history dependent operators. CDC 2016: 2276-2281 - 2015
- [c22]Shirin Dadashi, J. Feaster, G. Bledt, J. Bayandor, Francine Battaglia, Andrew Kurdila:
Adaptive control for flapping wing robots with history dependent, unsteady aerodynamics. ACC 2015: 144-151 - 2013
- [c21]J. Bayandor, G. Bledt, Shirin Dadashi, Andrew Kurdila, I. Murphy, Yu Lei:
Adaptive control for bioinspired flapping wing robots. ACC 2013: 609-614 - [c20]Andrew Kurdila, Yu Lei:
Adaptive control via embedding in reproducing kernel Hilbert spaces. ACC 2013: 3384-3389 - 2012
- [c19]Yu Lei, Andrew Kurdila:
A novel functional regression based estimation and control algorithm. ACC 2012: 350-355 - [c18]Zhaoda Deng, Jessica Gregory, Andrew Kurdila:
Learning theory with consensus in reproducing kernel Hilbert spaces. ACC 2012: 1400-1405 - 2011
- [c17]Brian J. Goode, Andrew Kurdila, Mike Roan:
A graph theoretical approach toward a switched feedback controller for pursuit-evasion scenarios. ACC 2011: 4804-4809 - [c16]Daniel J. Stilwell, Aditya S. Gadre, Andrew Kurdila:
A receding horizon approach to generating dynamically feasible plans for vehicles that operate over large areas. IROS 2011: 1140-1145 - 2010
- [c15]Andrew J. Kurdila, Bin Xu:
Near-Optimal Approximation Rates for Distribution Free Learning with Exponentially, Mixing Observations. ACC 2010: 504-509 - [c14]Brian J. Goode, Andrew Kurdila, Mike Roan:
Pursuit-evasion with acoustic sensing using one step nash equilibria. ACC 2010: 1925-1930 - [c13]Brian J. Goode, Andrew Kurdila, Mike Roan:
Adaptive fuzzy control of switched objective functions in pursuit-evasion scenarios. CDC 2010: 5762-5767 - [c12]Bin Xu, Andrew Kurdila, Daniel J. Stilwell:
Geometric ergodicity of the distributional consensus problem in vehicle network control. CDC 2010: 7499-7506 - [c11]Sang-Mook Lee, Jeong Joon Im, Bo-Hee Lee, Alexander Leonessa, Andrew Kurdila:
A real-time grid map generation and object classification for ground-based 3D LIDAR data using image analysis techniques. ICIP 2010: 2253-2256 - [c10]Bin Xu, Daniel J. Stilwell, Andrew Kurdila:
A receding horizon controller for motion planning in the presence of moving obstacles. ICRA 2010: 974-980 - 2009
- [c9]Yu Lei, Chengyu Cao, Eugene M. Cliff, Naira Hovakimyan, Andrew Kurdila, Kevin A. Wise:
L1 adaptive controller for air-breathing hypersonic vehicle with flexible body dynamics. ACC 2009: 3166-3171 - [c8]Bin Xu, Daniel J. Stilwell, Andrew Kurdila:
Efficient computation of level sets for path planning. IROS 2009: 4414-4419 - [c7]Bin Xu, Andrew Kurdila, Daniel J. Stilwell:
A hybrid receding horizon control method for path planning in uncertain environments. IROS 2009: 4887-4892 - 2008
- [c6]Vahram Stepanyan, Andrew Kurdila:
Nonlinear flight control in the presence of structural changes and external disturbances. ACC 2008: 1794-1799 - [c5]Vahram Stepanyan, Andrew Kurdila:
On the averaging method for affine in control systems. CDC 2008: 316-321 - 2007
- [c4]Vahram Stepanyan, Andrew Kurdila:
Adaptive control of non-affine uncertain systems. CDC 2007: 885-890 - [c3]Bin Xu, Daniel J. Stilwell, Aditya S. Gadre, Andrew Kurdila:
Analysis of local observability for feature localization in a maritime environment using an omnidirectional camera. IROS 2007: 3666-3671 - 2006
- [c2]Richard Prazenica, Andrew Kurdila, Robert Caldwell Sharpley, J. Evers:
Vision-based geometry estimation and receding horizon path planning for UAVs operating in urban environments. ACC 2006: 1-6 - 2004
- [c1]Andrew Kurdila, M. Nechyba, Richard Prazenica, Wolfgang Dahmen, Peter Binev, Ronald A. DeVore, Robert C. Sharpley:
Vision-based control of micro-air-vehicles: progress and problems in estimation. CDC 2004: 1635-1642
Informal and Other Publications
- 2023
- [i10]Ali Bouland, Shengyuan Niu, Sai Tej Paruchuri, Andrew Kurdila, John A. Burns, Eugenio Schuster:
Rates of Convergence in Certain Native Spaces of Approximations used in Reinforcement Learning. CoRR abs/2309.07383 (2023) - 2022
- [i9]Nathan Powell, Bowei Liu, Andrew J. Kurdila:
Koopman Methods for Estimation of Animal Motions over Unknown, Regularly Embedded Submanifolds. CoRR abs/2203.05646 (2022) - 2021
- [i8]Jia Guo, Michael E. Kepler, Sai Tej Paruchuri, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell:
Strictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels. CoRR abs/2103.12721 (2021) - 2020
- [i7]Sai Tej Paruchuri, Jia Guo, Andrew J. Kurdila:
RKHS Embedding for Estimating Nonlinear Piezoelectric Systems. CoRR abs/2002.07296 (2020) - [i6]Sai Tej Paruchuri, Jia Guo, Michael E. Kepler, Tim Ryan, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell:
Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds. CoRR abs/2004.05327 (2020) - [i5]Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila:
Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds. CoRR abs/2007.06163 (2020) - [i4]Sai Tej Paruchuri, Jia Guo, Andrew Kurdila:
Sufficient Conditions for Parameter Convergence over Embedded Manifolds using Kernel Techniques. CoRR abs/2009.02866 (2020) - [i3]Sai Tej Paruchuri, Jia Guo, Andrew Kurdila:
Kernel Center Adaptation in the Reproducing Kernel Hilbert Space Embedding Method. CoRR abs/2009.02867 (2020) - 2019
- [i2]Andrew J. Kurdila, Jia Guo, Sai Tej Paruchuri, Parag Bobade:
Persistence of Excitation in Reproducing Kernel Hilbert Spaces, Positive Limit Sets, and Smooth Manifolds. CoRR abs/1909.12274 (2019) - 2017
- [i1]Parag Bobade, Suprotim Majumdar, Savio Pereira, Andrew J. Kurdila, John B. Ferris:
Adaptive Estimation for Nonlinear Systems using Reproducing Kernel Hilbert Spaces. CoRR abs/1707.01567 (2017)
Coauthor Index
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