Andrew Kurdila

37 papers A* 1A 4B 2C 13Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Vector-Valued Native Space Embedding for Adaptive State Observation. CoRR Shengyuan Niu, Haoran Wang, Heejip Moon, Andrea L'Afflitto, Andrew Kurdila, Daniel J. Stilwell
2024	J	`jnl`	Convergence Rates of Online Critic Value Function Approximation in Native Spaces. IEEE Control. Syst. Lett. Shengyuan Niu, Ali Bouland, Haoran Wang, Filippos Fotiadis, Andrew Kurdila, Andrea L'Afflitto, Sai Tej Paruchuri, Kyriakos G. Vamvoudakis
2024	C	`conf`	Invariance and Approximation of Koopman Operators in Native Spaces. ACC Nathan Powell, Sai Tej Paruchuri, Ali Bouland, Shengyuan Niu, Andrew Kurdila
2024	J	`jnl`	Rates of Convergence in a Class of Native Spaces for Reinforcement Learning and Control. IEEE Control. Syst. Lett. Ali Bouland, Shengyuan Niu, Sai Tej Paruchuri, Andrew Kurdila, John A. Burns, Eugenio Schuster
2024	—	`conf`	Robust, Nonparametric Backstepping Control over Reproducing Kernel Hilbert Spaces. CDC Haoran Wang, Brian Scurlock, Andrew Kurdila, Andrea L'Afflitto
2023	—	`conf`	Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems. CDC Nathan Powell, Ali Bouland, John A. Burns, Andrew Kurdila
2023	C	`conf`	Learning Theory Convergence Rates for Observers and Controllers in Native Space Embedding. ACC John A. Burns, Andrew Kurdila, Derek Oesterheld, Daniel J. Stilwell, Haoran Wang
2023	J	`jnl`	Rates of Convergence in Certain Native Spaces of Approximations used in Reinforcement Learning. CoRR Ali Bouland, Shengyuan Niu, Sai Tej Paruchuri, Andrew Kurdila, John A. Burns, Eugenio Schuster
2023	J	`jnl`	Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques. IEEE Trans. Autom. Control. Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
2020	J	`jnl`	Kernel Center Adaptation in the Reproducing Kernel Hilbert Space Embedding Method. CoRR Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
2020	J	`jnl`	Sufficient Conditions for Parameter Convergence over Embedded Manifolds using Kernel Techniques. CoRR Sai Tej Paruchuri, Jia Guo, Andrew Kurdila
2017	B	`conf`	Gaussian process dynamic modeling of bat flapping flight. ICIP Matthew J. Bender, Xu Yang, Hui Chen, Andrew Kurdila, Rolf Müller
2017	C	`conf`	Learning theory and empirical potentials for modeling discrete mechanics. ACC Shirin Dadashi, Hunter G. McClelland, Andrew Kurdila
2017	—	`conf`	Piezoelectric composite subordinate oscillator arrays and frequency response shaping for passive vibration attenuation. CCTA Sai Tej Paruchuri, John Sterling, Andrew Kurdila, Joseph Vignola
2015	C	`conf`	Adaptive control for flapping wing robots with history dependent, unsteady aerodynamics. ACC Shirin Dadashi, J. Feaster, G. Bledt, J. Bayandor, Francine Battaglia, Andrew Kurdila
2013	C	`conf`	Adaptive control for bioinspired flapping wing robots. ACC J. Bayandor, G. Bledt, Shirin Dadashi, Andrew Kurdila, I. Murphy, Yu Lei
2013	C	`conf`	Adaptive control via embedding in reproducing kernel Hilbert spaces. ACC Andrew Kurdila, Yu Lei
2013	J	`jnl`	Fast Path Re-planning Based on Fast Marching and Level Sets. J. Intell. Robotic Syst. Bin Xu, Daniel J. Stilwell, Andrew Kurdila
2012	C	`conf`	A novel functional regression based estimation and control algorithm. ACC Yu Lei, Andrew Kurdila
2012	C	`conf`	Learning theory with consensus in reproducing kernel Hilbert spaces. ACC Zhaoda Deng, Jessica Gregory, Andrew Kurdila
2011	C	`conf`	A graph theoretical approach toward a switched feedback controller for pursuit-evasion scenarios. ACC Brian J. Goode, Andrew Kurdila, Mike Roan
2011	A	`conf`	A receding horizon approach to generating dynamically feasible plans for vehicles that operate over large areas. IROS Daniel J. Stilwell, Aditya S. Gadre, Andrew Kurdila
2010	B	`conf`	A real-time grid map generation and object classification for ground-based 3D LIDAR data using image analysis techniques. ICIP Sang-Mook Lee, Jeong Joon Im, Bo-Hee Lee, Alexander Leonessa, Andrew Kurdila
2010	A*	`conf`	A receding horizon controller for motion planning in the presence of moving obstacles. ICRA Bin Xu, Daniel J. Stilwell, Andrew Kurdila
2010	—	`conf`	Adaptive fuzzy control of switched objective functions in pursuit-evasion scenarios. CDC Brian J. Goode, Andrew Kurdila, Mike Roan
2010	—	`conf`	Geometric ergodicity of the distributional consensus problem in vehicle network control. CDC Bin Xu, Andrew Kurdila, Daniel J. Stilwell
2010	C	`conf`	Pursuit-evasion with acoustic sensing using one step nash equilibria. ACC Brian J. Goode, Andrew Kurdila, Mike Roan
2009	A	`conf`	A hybrid receding horizon control method for path planning in uncertain environments. IROS Bin Xu, Andrew Kurdila, Daniel J. Stilwell
2009	J	`jnl`	Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding. IEEE Trans. Neural Networks Vahram Stepanyan, Andrew Kurdila
2009	A	`conf`	Efficient computation of level sets for path planning. IROS Bin Xu, Daniel J. Stilwell, Andrew Kurdila
2009	C	`conf`	L1 adaptive controller for air-breathing hypersonic vehicle with flexible body dynamics. ACC Yu Lei, Chengyu Cao, Eugene M. Cliff, Naira Hovakimyan, Andrew Kurdila, Kevin A. Wise
2008	C	`conf`	Nonlinear flight control in the presence of structural changes and external disturbances. ACC Vahram Stepanyan, Andrew Kurdila
2008	—	`conf`	On the averaging method for affine in control systems. CDC Vahram Stepanyan, Andrew Kurdila
2007	—	`conf`	Adaptive control of non-affine uncertain systems. CDC Vahram Stepanyan, Andrew Kurdila
2007	A	`conf`	Analysis of local observability for feature localization in a maritime environment using an omnidirectional camera. IROS Bin Xu, Daniel J. Stilwell, Aditya S. Gadre, Andrew Kurdila
2006	C	`conf`	Vision-based geometry estimation and receding horizon path planning for UAVs operating in urban environments. ACC Richard Prazenica, Andrew Kurdila, Robert Caldwell Sharpley, J. Evers
2004	—	`conf`	Vision-based control of micro-air-vehicles: progress and problems in estimation. CDC Andrew Kurdila, M. Nechyba, Richard Prazenica, Wolfgang Dahmen, Peter Binev, Ronald A. DeVore, Robert C. Sharpley