John A. Burns
Affiliations: | Virginia Polytechnic Institute and State University, Blacksburg, VA, United States |
Area:
MathematicsGoogle:
"John Burns"Children
Sign in to add traineeR. C. Camphouse | grad student | 2001 | Virginia Tech |
Eric D. Vugrin | grad student | 2004 | Virginia Tech |
Adam F. Childers | grad student | 2009 | Virginia Tech |
Carlos N. Rautenberg | grad student | 2010 | Virginia Tech |
Brian K. McBee | grad student | 2011 | Virginia Tech |
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Publications
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Burns J, Cheung J. (2019) High Order Approximations for LQR Control and LQG Estimation of Convection Diffusion Systems Ifac-Papersonline. 52: 322-327 |
Akhtar I, Borggaard JT, Burns J. (2018) Computing Functional Gains for Designing More Energy-Efficient Buildings Using a Model Reduction Framework Fluids. 3: 97 |
Abuhamdia T, Taheri S, Burns J. (2018) A new wavelet family based on second-order LTI-systems: Journal of Vibration and Control. 24: 1077546316674089 |
Banks HT, Burns JA. (2018) Inverse problems and techniques with applications in the biological sciences Inverse Problems in Science and Engineering. 26: 151-151 |
Burns JA, Cliff EM, Herdman TL. (2018) Identification of dynamical systems with structured uncertainty Inverse Problems in Science and Engineering. 26: 280-321 |
Aulisa E, Burns JA, Gilliam D. (2016) Velocity Control of a Counter-Flow Heat Exchanger Ifac-Papersonline. 49: 104-109 |
Burns JA, He X, Hu W. (2016) Feedback stabilization of a thermal fluid system with mixed boundary control Computers and Mathematics With Applications |
Burns JA, Rautenberg CN. (2015) Solutions and approximations to the riccati integral equation with values in a space of compact operators Siam Journal On Control and Optimization. 53: 2846-2877 |
Burns JA, Rautenberg CN. (2015) The infinite-dimensional optimal filtering problem with mobile and stationary sensor networks Numerical Functional Analysis and Optimization. 36: 181-224 |
Akhtar I, Borggaard J, Burns JA, et al. (2015) Using functional gains for effective sensor location in flow control: A reduced-order modelling approach Journal of Fluid Mechanics. 781: 622-656 |