Silvia Ferrari
Silvia Ferrari
John Brancaccio Professor, Sibley School of Mechanical and Aerospace Engineering, Cornell University
Verified email at - Homepage
Cited by
Cited by
Smooth function approximation using neural networks
S Ferrari, RF Stengel
IEEE Transactions on Neural Networks 16 (1), 24-38, 2005
Information-driven sensor path planning by approximate cell decomposition
C Cai, S Ferrari
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009
Online adaptive critic flight control
S Ferrari, RF Stengel
Journal of Guidance, Control, and Dynamics 27 (5), 777-786, 2004
A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks
K Rudd, S Ferrari
Neurocomputing 155, 277-285, 2015
Deep learning feature extraction for target recognition and classification in underwater sonar images
P Zhu, J Isaacs, B Fu, S Ferrari
2017 IEEE 56th annual conference on decision and control (CDC), 2724-2731, 2017
Constructing Bayesian networks for criminal profiling from limited data
K Baumgartner, S Ferrari, G Palermo
Knowledge-Based Systems 21 (7), 563-572, 2008
Distributed optimal control for multi-agent trajectory optimization
G Foderaro, S Ferrari, TA Wettergren
Automatica 50 (1), 149-154, 2014
An information roadmap method for robotic sensor path planning
G Zhang, S Ferrari, M Qian
Journal of Intelligent and Robotic Systems 56, 69-98, 2009
A mobile sensing approach for regional surveillance of fugitive methane emissions in oil and gas production
JD Albertson, T Harvey, G Foderaro, P Zhu, X Zhou, S Ferrari, MS Amin, ...
Environmental science & technology 50 (5), 2487-2497, 2016
Model-based adaptive critic designs
RF Stengel, S Ferrari
New York, 64-94, 2014
A geometric optimization approach to detecting and intercepting dynamic targets using a mobile sensor network
S Ferrari, R Fierro, B Perteet, C Cai, K Baumgartner
SIAM journal on control and optimization 48 (1), 292-320, 2009
A constrained backpropagation approach for the adaptive solution of partial differential equations
K Rudd, G Di Muro, S Ferrari
IEEE transactions on neural networks and learning systems 25 (3), 571-584, 2013
An adaptive critic global controller
S Ferrari, RF Stengel
Proceedings of the 2002 American Control Conference (IEEE Cat. No. CH37301 …, 2002
Spiking neural network (SNN) control of a flapping insect-scale robot
TS Clawson, S Ferrari, SB Fuller, RJ Wood
2016 IEEE 55th Conference on Decision and Control (CDC), 3381-3388, 2016
Spike-based indirect training of a spiking neural network-controlled virtual insect
X Zhang, Z Xu, C Henriquez, S Ferrari
52nd IEEE Conference on Decision and Control, 6798-6805, 2013
A constrained optimization approach to preserving prior knowledge during incremental training
S Ferrari, M Jensenius
IEEE Transactions on Neural Networks 19 (6), 996-1009, 2008
Optimal control of an underwater sensor network for cooperative target tracking
KAC Baumgartner, S Ferrari, AV Rao
IEEE Journal of Oceanic Engineering 34 (4), 678-697, 2009
Bayesian network modeling of offender behavior for criminal profiling
KC Baumgartner, S Ferrari, CG Salfati
Proceedings of the 44th IEEE Conference on Decision and Control, 2702-2709, 2005
Demining sensor modeling and feature-level fusion by Bayesian networks
S Ferrari, A Vaghi
IEEE Sensors Journal 6 (2), 471-483, 2006
Adaptive feedback control by constrained approximate dynamic programming
S Ferrari, JE Steck, R Chandramohan
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008
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