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ORCIDSai Tej Paruchuri
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2020 – today
- 2024
[j4]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)- [j3]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) - [c13]Zibo Wang, Sai Tej Paruchuri, Lixing Yang, Eugenio Schuster:
Safety Factor Profile Regulation via Self-Triggered Model Predictive Control in the EAST Tokamak. ACC 2024: 2545-2550 - [c12]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
- [j2]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) - [j1]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) - [c11]Sai Tej Paruchuri, Andres Pajares, Eugenio Schuster:
Lyapunov-based Current-Profile Feedback Control in Tokamaks with Nonsymmetric Individual Actuator Saturation∗. ACC 2023: 1377-1382 - [c10]Sai Tej Paruchuri, Andres Pajares, Eugenio Schuster:
Nonlinear Local Control of the Safety-Factor-Profile Gradient at Moving Spatial Locations in Tokamak Plasmas*. ACC 2023: 1590-1595 - [c9]Zibo Wang, Hexiang Wang, Eugenio Schuster, Zhengping Luo, Yao Huang, Qiping Yuan, Bingjia Xiao, David A. Humphreys, Sai Tej Paruchuri:
Implementation and Initial Testing of a Model Predictive Controller for Safety Factor Profile and Energy Regulation in the EAST Tokamak*. ACC 2023: 3276-3281 - [c8]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 - [i8]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
- [c7]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 - 2021
- [c6]Eugenio Aulisa, John A. Burns, David S. Gilliam, Sai Tej Paruchuri:
Accurate Approximate Regulation of Nonlinear Delay Differential Control Systems. CDC 2021: 422-427 - [c5]Sai Tej Paruchuri, Andres Pajares, Eugenio Schuster:
Minimum Safety Factor Control in Tokamaks via Optimal Allocation of Spatially Moving Electron Cyclotron Current Drive*. CDC 2021: 454-459 - [i7]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
- [c4]Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila:
Persistence of Excitation in Uniformly Embedded Reproducing Kernel Hilbert (RKH) Spaces. ACC 2020: 4539-4544 - [c3]Jia Guo, Sai Tej Paruchuri, Andrew J. Kurdila:
Approximations of the Reproducing Kernel Hilbert Space (RKHS) Embedding Method over Manifolds. CDC 2020: 1596-1601 - [c2]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 - [i6]Sai Tej Paruchuri, Jia Guo, Andrew J. Kurdila:
RKHS Embedding for Estimating Nonlinear Piezoelectric Systems. CoRR abs/2002.07296 (2020) - [i5]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) - [i4]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) - [i3]Sai Tej Paruchuri, Jia Guo, Andrew Kurdila:
Sufficient Conditions for Parameter Convergence over Embedded Manifolds using Kernel Techniques. CoRR abs/2009.02866 (2020) - [i2]Sai Tej Paruchuri, Jia Guo, Andrew Kurdila:
Kernel Center Adaptation in the Reproducing Kernel Hilbert Space Embedding Method. CoRR abs/2009.02867 (2020)
2010 – 2019
- 2019
- [i1]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
- [c1]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
Coauthor Index
aka: Andrew J. Kurdila
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