Liqian Peng
Cited by
Cited by
Symplectic model reduction of Hamiltonian systems
L Peng, K Mohseni
SIAM Journal on Scientific Computing 38 (1), A1–A27, 2016
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
KT Carlberg, A Jameson, MJ Kochenderfer, J Morton, L Peng, ...
Journal of Computational Physics 395, 105-124, 2019
Dynamic data driven application system for plume estimation using UAVs
L Peng, D Lipinski, K Mohseni
Journal of Intelligent & Robotic Systems 74 (1–2), 421–436, 2014
Consensus of self-driven agents with avoidance of collisions
L Peng, Y Zhao, B Tian, J Zhang, BH Wang, HT Zhang, T Zhou
Physical Review E 79 (2), 026113, 2009
Nonlinear model reduction via a locally weighted POD method
L Peng, K Mohseni
International Journal for Numerical Methods in Engineering 106 (5), 372–396, 2016
Accelerating consensus of self-driven swarm via adaptive speed
J Zhang, Y Zhao, B Tian, L Peng, HT Zhang, BH Wang, T Zhou
Physica A: Statistical Mechanics and its Applications 388 (7), 1237–1242, 2009
An online manifold learning approach for model reduction of dynamical systems
L Peng, K Mohseni
SIAM Journal on Numerical Analysis 52 (4), 1928–1952, 2014
A note on a two-sample T test with one variance unknown
L Peng, T Tong
Statistical Methodology 8 (6), 528–534, 2011
A DDDAS plume monitoring system with reduced Kalman filter
L Peng, M Silic, K Mohseni
Procedia Computer Science 51, 2533–2542, 2015
Sensor driven feedback for puff estimation using unmanned aerial vehicles
L Peng, K Mohseni
International Conference on Unmanned Aircraft Systems (ICUAS), 562–569, 2014
Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators
Z Bai, L Peng
Advanced Modeling and Simulation in Engineering Sciences 8 (1), 28, 2021
High Resolution Atmospheric Sensing Using UAVs
B Hodgkinson, D Lipinski, L Peng, K Mohseni
Distributed Autonomous Robotic Systems (DARS) 104, 31–45, 2014
Geometric model reduction of forced and dissipative Hamiltonian systems
L Peng, K Mohseni
55th IEEE Conference on Decision and Control (CDC), 2016, 7465–7470, 2016
Structure-preserving model reduction of forced Hamiltonian systems
L Peng, K Mohseni
arXiv preprint arXiv:1603.03514, 2016
Nonlinear Model Reduction for Parameterized Partial Differential Equation
L Peng, K Mohseni
43rd AIAA Fluid Dynamics Conference and Exhibit, AIAA paper, 2013-2967, 2013
Cooperative control using data-driven feedback for mobile sensors
B Hodgkinson, D Lipinski, L Peng, K Mohseni
International Conference on Robotics and Automation (ICRA), 772–777, 2013
An empirical reduced modeling approach for mobile, distributed sensor platform networks
IJ Sledge, L Peng, K Mohseni
Dynamic Data-Driven Environmental Systems Science (DyDESS), LNCS 8964, 195–204, 2015
A localized symplectic model reduction technique for parameterized Hamiltonian systems
L Peng, K Mohseni
American Control Conference (ACC), 2015, 5545–5550, 2015
A symplectic technique for model reduction of wave equations
L Peng, K Mohseni
53rd Aerospace Sciences Meeting, AIAA Paper, 2015-1809, 2015
Structure-preserving model reduction for marginally stable LTI systems
L Peng, K Carlberg
arXiv preprint arXiv:1704.04009, 2017
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