Andrew Kurdila

According to our database, Andrew Kurdila authored at least 58 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Convergence Rates of Online Critic Value Function Approximation in Native Spaces.

Shengyuan Niu, Ali Bouland, Haoran Wang, Filippos Fotiadis, Andrew Kurdila, Andrea L'Afflitto, Sai Tej Paruchuri, Kyriakos G. Vamvoudakis

IEEE Control. Syst. Lett., 2024

Rates of Convergence in a Class of Native Spaces for Reinforcement Learning and Control.

Ali Bouland, Shengyuan Niu, Sai Tej Paruchuri, Andrew Kurdila, John A. Burns, Eugenio Schuster

IEEE Control. Syst. Lett., 2024

Nonparametric adaptive control in native spaces: A DPS framework (Part I).

Andrew J. Kurdila, Andrea L'Afflitto, John A. Burns, Haoran Wang

Annu. Rev. Control., 2024

Nonparametric adaptive control in native spaces: Finite-dimensional implementations, Part II.

Andrew J. Kurdila, Andrea L'Afflitto, John A. Burns, Haoran Wang

Annu. Rev. Control., 2024

Invariance and Approximation of Koopman Operators in Native Spaces.

Nathan Powell, Sai Tej Paruchuri, Ali Bouland, Shengyuan Niu, Andrew Kurdila

Proceedings of the American Control Conference, 2024

Newton Bases and Event-Triggered Adaptive Control in Native Spaces.

Nathan Powell, Andrew J. Kurdila, Andrea L'Afflitto, Haoran Wang, Jia Guo

Proceedings of the American Control Conference, 2024

2023

Partial Persistence of Excitation in RKHS Embedded Adaptive Estimation.

Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila

IEEE Trans. Autom. Control., October, 2023

Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques.

Sai Tej Paruchuri, Jia Guo, Andrew Kurdila

IEEE Trans. Autom. Control., February, 2023

MRAC With Adaptive Uncertainty Bounds via Operator-Valued Reproducing Kernels.

Haoran Wang, Brian Scurlock, Nathan Powell, Andrea L'Afflitto, Andrew J. Kurdila

IEEE Control. Syst. Lett., 2023

Rates of Convergence in Certain Native Spaces of Approximations used in Reinforcement Learning.

Ali Bouland, Shengyuan Niu, Sai Tej Paruchuri, Andrew Kurdila, John A. Burns, Eugenio Schuster

CoRR, 2023

The Power Function for Adaptive Control in Native Space Embedding.

Haoran Wang, Nathan Powell, Andrea L'Afflitto, Andrew J. Kurdila, John A. Burns

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems.

Nathan Powell, Ali Bouland, John A. Burns, Andrew Kurdila

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

A Model Reference Adaptive Controller Based on Operator-Valued Kernel Functions.

Derek I. Oesterheld, Daniel J. Stilwell, Andrew J. Kurdila, Jia Guo

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Theory Convergence Rates for Observers and Controllers in Native Space Embedding.

John A. Burns, Andrew Kurdila, Derek Oesterheld, Daniel J. Stilwell, Haoran Wang

Proceedings of the American Control Conference, 2023

Error Bounds for Native Space Embedding Observers with Operator-Valued Kernels.

John A. Burns, Jia Guo, Andrew J. Kurdila, Sai Tej Paruchuri, Haoran Wang

Proceedings of the American Control Conference, 2023

2022

Koopman Methods for Estimation of Animal Motions over Unknown, Regularly Embedded Submanifolds.

Nathan Powell, Bowei Liu, Andrew J. Kurdila

CoRR, 2022

Approximation of Koopman Operators: Irregular Domains and Positive Orbits.

Nathan Powell, Roger Liu, Jia Guo, Sai Tej Paruchuri, John A. Burns, Boone Estes, Andrew J. Kurdila

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Koopman Methods for Estimation of Motion over Unknown, Regularly Embedded Submanifolds.

Nathan Powell, Bowei Liu, Andrew J. Kurdila

Proceedings of the American Control Conference, 2022

Collaborative Persistent Excitation in RKHS Embedded Adaptive Estimation with Consensus.

Jia Guo, Fumin Zhang, Andrew J. Kurdila

Proceedings of the American Control Conference, 2022

2021

Strictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels.

Jia Guo, Michael E. Kepler, Sai Tej Paruchuri, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell

CoRR, 2021

2020

Kernel Center Adaptation in the Reproducing Kernel Hilbert Space Embedding Method.

Sai Tej Paruchuri, Jia Guo, Andrew Kurdila

CoRR, 2020

RKHS Embedding for Estimating Nonlinear Piezoelectric Systems.

Sai Tej Paruchuri, Jia Guo, Andrew J. Kurdila

CoRR, 2020

Learning Theory for Estimation of Animal Motion Submanifolds.

Nathan Powell, Andrew J. Kurdila

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds.

Sai Tej Paruchuri, Jia Guo, Michael E. Kepler, Tim Ryan, Haoran Wang, Andrew J. Kurdila, Daniel J. Stilwell

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds.

Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Persistence of Excitation in Uniformly Embedded Reproducing Kernel Hilbert (RKH) Spaces.

Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila

Proceedings of the 2020 American Control Conference, 2020

2019

Persistence of Excitation in Reproducing Kernel Hilbert Spaces, Positive Limit Sets, and Smooth Manifolds.

Andrew J. Kurdila, Jia Guo, Sai Tej Paruchuri, Parag Bobade

CoRR, 2019

Adaptive estimation for nonlinear systems using reproducing kernel Hilbert spaces.

Parag Bobade, Suprotim Majumdar, Savio Pereira, Andrew J. Kurdila, John B. Ferris

Adv. Comput. Math., 2019

Multi-agent adaptive estimation with consensus in reproducing kernel Hilbert spaces.

Parag Bobade, Dimitra Panagou, Andrew J. Kurdila

Proceedings of the 17th European Control Conference, 2019

2017

Gaussian process dynamic modeling of bat flapping flight.

Matthew J. Bender, Xu Yang, Hui Chen, Andrew Kurdila, Rolf Müller

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Piezoelectric composite subordinate oscillator arrays and frequency response shaping for passive vibration attenuation.

Sai Tej Paruchuri, John Sterling, Andrew Kurdila, Joseph Vignola

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Learning theory and empirical potentials for modeling discrete mechanics.

Shirin Dadashi, Hunter G. McClelland, Andrew Kurdila

Proceedings of the 2017 American Control Conference, 2017

Adaptive estimation in reproducing kernel Hilbert spaces.

Parag Bobade, Suprotim Majumdar, Savio Pereira, Andrew J. Kurdila, John B. Ferris

Proceedings of the 2017 American Control Conference, 2017

2016

Error estimates for multiwavelet approximations of a class of history dependent operators.

Shirin Dadashi, Parag Bobade, Andrew J. Kurdila

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Adaptive control for flapping wing robots with history dependent, unsteady aerodynamics.

Shirin Dadashi, J. Feaster, G. Bledt, J. Bayandor, Francine Battaglia, Andrew Kurdila

Proceedings of the American Control Conference, 2015

2013

Fast Path Re-planning Based on Fast Marching and Level Sets.

Bin Xu, Daniel J. Stilwell, Andrew Kurdila

J. Intell. Robotic Syst., 2013

Adaptive control via embedding in reproducing kernel Hilbert spaces.

Andrew Kurdila, Yu Lei

Proceedings of the American Control Conference, 2013

Adaptive control for bioinspired flapping wing robots.

J. Bayandor, G. Bledt, Shirin Dadashi, Andrew Kurdila, I. Murphy, Yu Lei

Proceedings of the American Control Conference, 2013

2012

A novel functional regression based estimation and control algorithm.

Yu Lei, Andrew Kurdila

Proceedings of the American Control Conference, 2012

Learning theory with consensus in reproducing kernel Hilbert spaces.

Zhaoda Deng, Jessica Gregory, Andrew Kurdila

Proceedings of the American Control Conference, 2012

2011

A receding horizon approach to generating dynamically feasible plans for vehicles that operate over large areas.

Daniel J. Stilwell, Aditya S. Gadre, Andrew Kurdila

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.

Brian J. Goode, Andrew Kurdila, Mike Roan

Proceedings of the American Control Conference, 2011

2010

A receding horizon controller for motion planning in the presence of moving obstacles.

Bin Xu, Daniel J. Stilwell, Andrew Kurdila

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.

Sang-Mook Lee, Jeong Joon Im, Bo-Hee Lee, Alexander Leonessa, Andrew Kurdila

Proceedings of the International Conference on Image Processing, 2010

Geometric ergodicity of the distributional consensus problem in vehicle network control.

Bin Xu, Andrew Kurdila, Daniel J. Stilwell

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Adaptive fuzzy control of switched objective functions in pursuit-evasion scenarios.

Brian J. Goode, Andrew Kurdila, Mike Roan

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Near-Optimal Approximation Rates for Distribution Free Learning with Exponentially, Mixing Observations.

Andrew J. Kurdila, Bin Xu

Proceedings of the American Control Conference, 2010

Pursuit-evasion with acoustic sensing using one step nash equilibria.

Brian J. Goode, Andrew Kurdila, Mike Roan

Proceedings of the American Control Conference, 2010

2009

Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding.

Vahram Stepanyan, Andrew Kurdila

IEEE Trans. Neural Networks, 2009

Efficient computation of level sets for path planning.

Bin Xu, Daniel J. Stilwell, Andrew Kurdila

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.

Bin Xu, Andrew Kurdila, Daniel J. Stilwell

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.

Yu Lei, Chengyu Cao, Eugene M. Cliff, Naira Hovakimyan, Andrew Kurdila, Kevin A. Wise

Proceedings of the American Control Conference, 2009

2008

On the averaging method for affine in control systems.

Vahram Stepanyan, Andrew Kurdila

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Nonlinear flight control in the presence of structural changes and external disturbances.

Vahram Stepanyan, Andrew Kurdila

Proceedings of the American Control Conference, 2008

2007

Analysis of local observability for feature localization in a maritime environment using an omnidirectional camera.

Bin Xu, Daniel J. Stilwell, Aditya S. Gadre, Andrew Kurdila

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Adaptive control of non-affine uncertain systems.

Vahram Stepanyan, Andrew Kurdila

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.

Richard Prazenica, Andrew Kurdila, Robert Caldwell Sharpley, J. Evers

Proceedings of the American Control Conference, 2006

2004

Vision-based control of micro-air-vehicles: progress and problems in estimation.

Andrew Kurdila, M. Nechyba, Richard Prazenica, Wolfgang Dahmen, Peter Binev, Ronald A. DeVore, Robert C. Sharpley

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004