Andrew Kurdila

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 11

Top Topics

Reproducing Kernel Hilbert Space

Convergence Rate

Learning Theory

Top Venues

IEEE Control. Syst. Lett.

Publications

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 (2024)
Nathan Powell, Ali Bouland, John A. Burns, Andrew Kurdila
Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems. CDC (2023)
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 (2023)
Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques. IEEE Trans. Autom. Control. 68 (2) (2023)
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)
Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
Sufficient Conditions for Parameter Convergence over Embedded Manifolds using Kernel Techniques. CoRR (2020)
Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
Kernel Center Adaptation in the Reproducing Kernel Hilbert Space Embedding Method. CoRR (2020)
Shirin Dadashi, Hunter G. McClelland, Andrew Kurdila
Learning theory and empirical potentials for modeling discrete mechanics. ACC (2017)
Sai Tej Paruchuri, John Sterling, Andrew Kurdila, Joseph Vignola
Piezoelectric composite subordinate oscillator arrays and frequency response shaping for passive vibration attenuation. CCTA (2017)
Matthew J. Bender, Xu Yang, Hui Chen, Andrew Kurdila, Rolf Müller
Gaussian process dynamic modeling of bat flapping flight. ICIP (2017)
Shirin Dadashi, J. Feaster, G. Bledt, J. Bayandor, F. Battaglia, Andrew Kurdila
Adaptive control for flapping wing robots with history dependent, unsteady aerodynamics. ACC (2015)
Andrew Kurdila, Yu Lei
Adaptive control via embedding in reproducing kernel Hilbert spaces. ACC (2013)
J. Bayandor, G. Bledt, Shirin Dadashi, Andrew Kurdila, I. Murphy, Yu Lei
Adaptive control for bioinspired flapping wing robots. ACC (2013)
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) (2013)
Yu Lei, Andrew Kurdila
A novel functional regression based estimation and control algorithm. ACC (2012)
Zhaoda Deng, Jessica Gregory, Andrew Kurdila
Learning theory with consensus in reproducing kernel Hilbert spaces. ACC (2012)
Brian J. Goode, Andrew Kurdila, Mike Roan
A graph theoretical approach toward a switched feedback controller for pursuit-evasion scenarios. ACC (2011)
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)
Bin Xu, Daniel J. Stilwell, Andrew Kurdila
A receding horizon controller for motion planning in the presence of moving obstacles. ICRA (2010)
Bin Xu, Andrew Kurdila, Daniel J. Stilwell
Geometric ergodicity of the distributional consensus problem in vehicle network control. CDC (2010)
Brian J. Goode, Andrew Kurdila, Mike Roan
Adaptive fuzzy control of switched objective functions in pursuit-evasion scenarios. CDC (2010)
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)
Brian J. Goode, Andrew Kurdila, Mike Roan
Pursuit-evasion with acoustic sensing using one step nash equilibria. ACC (2010)
Yu Lei, Chengyu Cao, Eugene Cliff, Naira Hovakimyan, Andrew Kurdila, Kevin A. Wise
L1 adaptive controller for air-breathing hypersonic vehicle with flexible body dynamics. ACC (2009)
Bin Xu, Andrew Kurdila, Daniel J. Stilwell
A hybrid receding horizon control method for path planning in uncertain environments. IROS (2009)
Vahram Stepanyan, Andrew Kurdila
Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding. IEEE Trans. Neural Networks 20 (8) (2009)
Bin Xu, Daniel J. Stilwell, Andrew Kurdila
Efficient computation of level sets for path planning. IROS (2009)
Vahram Stepanyan, Andrew Kurdila
Nonlinear flight control in the presence of structural changes and external disturbances. ACC (2008)
Vahram Stepanyan, Andrew Kurdila
On the averaging method for affine in control systems. CDC (2008)
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)
Vahram Stepanyan, Andrew Kurdila
Adaptive control of non-affine uncertain systems. CDC (2007)
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)