Luis A. Duffaut Espinosa is an Assistant Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont. His research interests lie in the intersection of estimation theory, control theory, learning technologies, robotics, and signal processing with emphasis on non-parametric and model-free approaches for power systems, monitoring of environmental systems, quantum control, and general modeling of nonlinear systems. Current research projects include efficient real-time data assimilation in harsh environments with limited Information, model-free control of quadcopter multi-agent systems resilient to GPS jamming and spoofing, and SAR with small satellites in low earth orbits. Prior to joining the University of Vermont as an assistant professor, he was a research assistant professor at the University of Vermont (2016-2019) and was faculty in the Electrical and Computer Engineering Department of George Mason University (2014-2016). He also held a postdoctoral position at Johns Hopkins University (2010-2011) and a research associate position at the University of New South Wales in Canberra, Australia (2011-2013). He received his Ph.D. degree in electrical and computer engineering from Old Dominion University in 2009, the M.S. degree in mathematics from Pontificia Universidad Católica del Perú in 2005, and the B.S. degree in physics from the Universidad Nacional de Ingenería in Perú in 2003.
I. Perez and L. A. Duffaut Espinosa, Reachability of Chen-Fliess series: A
Gradient Descent Approach, 58th Annual Allerton Conference on Communication,
Control, and Computing, Monticello, Illinois, pp. 1-7, 2022.
D. Waleed and L. A. Duffaut Espinosa, Integration of a Robust Kalman filter
with Model-Free control, 6th Conference on Control Technology and
Applications, Trieste, Italy, pp. 970-976, 2022.
W. S. Gray, L. A. Duffaut Espinosa, Estimating Relative Degree of Nonlinear
Systems Using Generating Series, 61st Conference on Decision and Control,
Cancun, Mexico, pp. 7333-7338, 2022.
L. A. Duffaut Espinosa, M. Almassalkhi, and Adil Khurram, Reference-Tracking
Control Policies for Packetized Coordination of Heterogeneous DER
Populations, IEEE Transactions on Control Systems Technology, vol. 29, no. 6,
pp. 2427-2443, 2021.
W. S. Gray, L. A. Duffaut Espinosa, and K. Ebrahimi-Fard, Discrete-Time Approximations of Fliess Operators: The rational case, Numerische Mathematik,
vol. 137, no. 1, pp. 35-62, 2017.
L. A. Duffaut Espinosa et al., Physical Realizability and Preservation of Commutation and Anticommutation Relations for N-Level Quantum Systems, SIAM
Journal on Control and Optimization, vol. 54, no. 2, pp. 632-661, 2016.
L. A. Duffaut Espinosa and M. Almassalkhi, "A Packetized Energy Management Macromodel with Quality of Service Guarantees for Demand-Side Resources," IEEE Transactions on Power Systems, vol. 35, no. 5, 2020, 3660-3670.
L. A. Duffaut Espinosa, F. Rosales and A. Posadas, "Embedding Spatial Variability in Rainfall Field Reconstruction," International Journal of Remote Sensing, vol. 39, no. 9, 2018, pp. 2884-2905.
W. S. Gray, L. A. Duffaut Espinosa and K. Ebrahimi-Fard, "Discrete-Time Approximations of Fliess Operators: The rational case," Numerische Mathematik, vol. 137, no. 1, 2017, pp. 35-62.
L. A. Duffaut Espinosa et al., "Physical Realizability and Preservation of Commutation and Anticommutation Relations for N-Level Quantum Systems," SIAM Journal on Control and Optimization, vol. 54, no. 2, 2016, pp. 632-661.
L. A. Duffaut Espinosa et al., "On the convergence of Fliess operators driven by L2-Ito processes," Stochastics: An International Journal of Probability and Stochastic Processes, vol. 84, no. 4, 2012, pp. 507-532.
Areas of Expertise and/or Research
Control, Estimation, Robotics, Stochastic Systems and Signal Processing
- PhD (2009), Electrical Engineering and Computer Engineering, Old Dominion University, Norfolk, VA.
Votey Hall 301-E
EE 371 - Estimation Theory - Spring 2023
EE 110 - Control Systems - Spring 2023
EE 171 - Signals & Systems - Fall 2022
EE 275 - Digital Signal Processing - Spring 2022
EE 301 - System Theory - Fall 2021
EE 171 - Signals & Systems - Fall 2021
EE 110 - Control Systems - Spring 2021
EE 171 - Signals & Systems - Fall 2020
EE 371 - Estimation Theory - Spring 2020
EE 275 - Digital Signal Processing - Fall 2019