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ORCIDJohn A. Burns
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- affiliation: Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
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Journal Articles
- 2024
[j7]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)- 2023
- [j6]Eugenio Aulisa, John A. Burns, David S. Gilliam:
Approximate tracking for distributed parameter systems using only sensed data. Syst. Control. Lett. 173: 105477 (2023) - 2022
- [j5]Nikolaos A. Gatsonis, Xin Tian, Michael A. Demetriou, John A. Burns:
A heterogeneous non-overlapping domain decomposition explicit finite volume method for a real-time hybrid process-state estimator of 3D unsteady advection-diffusion fields. J. Comput. Phys. 464: 111257 (2022) - 2016
- [j4]John A. Burns, Xiaoming He, Weiwei Hu:
Feedback stabilization of a thermal fluid system with mixed boundary control. Comput. Math. Appl. 71(11): 2170-2191 (2016) - 2015
- [j3]John A. Burns, Carlos N. Rautenberg:
Solutions and Approximations to the Riccati Integral Equation with Values in a Space of Compact Operators. SIAM J. Control. Optim. 53(5): 2846-2877 (2015) - 2008
- [j2]John A. Burns, Ekkehard W. Sachs, Lizette Zietsman:
Mesh Independence of Kleinman--Newton Iterations for Riccati Equations in Hilbert Space. SIAM J. Control. Optim. 47(5): 2663-2692 (2008) - 2007
- [j1]John Allen Burns, Eugene M. Cliff, Zhuangyi Liu, Ruben D. Spies:
Polynomial stability of a joint-leg-beam system with local damping. Math. Comput. Model. 46(9-10): 1236-1246 (2007)
Conference and Workshop Papers
- 2023
- [c34]Eugenio Aulisa, John A. Burns, David S. Gilliam:
A Cascading Method for Reducing Asymptotic Errors in Feedback Control of Nonlinear Distributed Parameter Systems. ACC 2023: 330-335 - [c33]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 - [c32]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 - [c31]Nathan Powell, Ali Bouland, John A. Burns, Andrew Kurdila:
Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems. CDC 2023: 657-664 - [c30]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
- [c29]Eugenio Aulisa, John A. Burns, David S. Gilliam:
Approximate Error Feedback Controller for Tracking and Disturbance Rejection for Linear Distributed Parameter Systems. ACC 2022: 976-981 - [c28]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
- [c27]Eugenio Aulisa, John A. Burns, David S. Gilliam, Sai Tej Paruchuri:
Accurate Approximate Regulation of Nonlinear Delay Differential Control Systems. CDC 2021: 422-427 - 2020
- [c26]John A. Burns, James Cheung:
Optimal Error Estimates for hp - Finite Element Approximations of Distributed Parameter LQR Control Problems. ACC 2020: 806-811 - 2018
- [c25]John A. Burns, Eugene M. Cliff, Terry L. Herdman:
Parameter Estimation of a Thermal Fluid System. ACC 2018: 122-127 - 2016
- [c24]John A. Burns, Lizette Zietsman:
Control of a thermal fluid heat exchanger with actuator dynamics. CDC 2016: 3131-3136 - 2015
- [c23]John A. Burns, Boris Kramer:
Full flux models for optimization and control of heat exchangers. ACC 2015: 577-582 - [c22]Eugenio Aulisa, John A. Burns, David S. Gilliam:
The effect of viscosity in a tracking regulation problem for a counter-flow heat exchanger. CDC 2015: 561-566 - 2014
- [c21]John Allen Burns, Eugene M. Cliff:
Numerical methods for optimal control of heat exchangers. ACC 2014: 1649-1654 - [c20]John Allen Burns, Eugene M. Cliff:
Control of hyperbolic PDE systems with actuator dynamics. CDC 2014: 2864-2869 - 2013
- [c19]John A. Burns, Terry L. Herdman, Lizette Zietsman:
Approximating parabolic boundary control problems with delayed actuator dynamics. ACC 2013: 2080-2085 - [c18]John A. Burns, Weiwei Hu:
Approximation methods for boundary control of the Boussinesq equations. CDC 2013: 454-459 - [c17]John Allen Burns, Eugene M. Cliff:
On optimal thermal control of an idealized room including hard limits on zone-temperature and a max-control cost term. CDC 2013: 4821-4826 - 2012
- [c16]John A. Burns, Xiaoming He, Weiwei Hu:
Control of the Boussinesq equations with implications for sensor location in energy efficient buildings. ACC 2012: 2232-2237 - [c15]Edward J. Allen, John A. Burns, David S. Gilliam:
Control and sensitivity reduction for a viscous Burgers' equation. CDC 2012: 967-972 - [c14]Eugenio Aulisa, John A. Burns, David S. Gilliam:
An example of thermal regulation of a two dimensional non-isothermal incompressible flow. CDC 2012: 1578-1583 - 2011
- [c13]John A. Burns, Carlos N. Rautenberg:
Bochner integrable solutions to Riccati partial differential equations and optimal sensor placement. ACC 2011: 2368-2373 - [c12]Jeff Borggaard, John A. Burns, Lizette Zietsman:
On using LQG performance metrics for sensor placement. ACC 2011: 2381-2386 - 2010
- [c11]John A. Burns, Eugene M. Cliff, Carlos N. Rautenberg, Lizette Zietsman:
Optimal sensor design for estimation and optimization of PDE systems. ACC 2010: 4127-4132 - [c10]Imran Akhtar, Jeff Borggaard, John A. Burns:
High performance computing for energy efficient buildings. FIT 2010: 36 - 2009
- [c9]Jeff Borggaard, John A. Burns, Amit Surana, Lizette Zietsman:
Control, estimation and optimization of energy efficient buildings. ACC 2009: 837-841 - 2008
- [c8]Edward J. Allen, John A. Burns, David S. Gilliam:
On the use of numerical methods for analysis and control of nonlinear convective systems. CDC 2008: 197-202 - [c7]John A. Burns, Lisa G. Davis:
Sensitivity analysis and computational uncertainty with applications to control of nonlinear parabolic partial differential equations. CDC 2008: 3989-3994 - 2007
- [c6]John A. Burns, Lizette Zietsman:
Upwind approximations and mesh independence for LQR control of convection diffusion equations. CDC 2007: 219-224 - 2006
- [c5]John A. Burns, Ekkehard W. Sachs, Lizette Zietsman:
Approximations and Mesh Independence for LQR Optimal Control. CDC 2006: 81-86 - 2005
- [c4]John A. Burns, John R. Singler:
Feedback Control of Low Dimensional Models of Transition to Turbulence. CDC/ECC 2005: 3140-3145 - 2004
- [c3]Jeff Borggaard, John A. Burns, Eric Vugrin, Lizette Zietsman:
On strong convergence of feedback operators for non-normal distributed parameter systems. CDC 2004: 1526-1531 - 2003
- [c2]John A. Burns, Belinda B. King, Denise Krueger, Lizette Zietsman:
Computation of feedback operators for distributed parameter systems with non-normal linearizations. ACC 2003: 2083-2088 - 2002
- [c1]Christopher I. Byrnes, David S. Gilliam, Victor I. Shubov, John A. Burns:
Modelling modal based sensors for oscillatory systems. CDC 2002: 1725-1726
Informal and Other Publications
- 2023
- [i1]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)
Coauthor Index
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