
Book Chapters
 C. H.l Dagli et. al, Adaptive Control of Chaos Induced Capsizing of a Ship,
in Intelligent Engineering Systems through Artificial Neural Networks, Fuzzy Logic and Evolutionary Progr., vol. 5
(1995), ASME Press NY
 Ferrari, S., Stengel, R. F., Modelbased Adaptive Critic Designs,
in Learning and Approximate Dynamic Programming: Scaling Up to the Real World, edited by J. Si, A. Barto, W. Powell, D. Wunsch
(2004), IEEE Press and John Wiley & Sons
Papers Published
 Zhu, P; Liu, C; Ferrari, S, Adaptive Online Distributed Optimal Control of VeryLargeScale Robotic Systems,
Ieee Transactions on Control of Network Systems
(January, 2021) [doi] [abs]
 Ferrari, S; Wettergren, T; Linares, R; Legrand, K, Guest Editorial Special Issue on Control of Verylarge Scale Robotic (VLSR) Networks,
Ieee Transactions on Control of Network Systems
(January, 2021) [doi] [abs]
 Doerr, B; Linares, R; Zhu, P; Ferrari, S, Random finite set theory and centralized control of large collaborative swarms,
Journal of Guidance, Control, and Dynamics, vol. 44 no. 3
(January, 2021),
pp. 505521 [doi] [abs]
 Tilmon, B; Jain, E; Ferrari, S; Koppal, SJ, Fast Foveating Cameras for Dense Adaptive Resolution,
Ieee Transactions on Pattern Analysis and Machine Intelligence
(January, 2021) [doi] [abs]
 Clawson, TS; Ferrari, S; Helbling, EF; Wood, RJ; Fu, B; Ruina, A; Wang, ZJ, Full flight envelope and trim map of flappingwing micro aerial vehicles,
Journal of Guidance, Control, and Dynamics, vol. 43 no. 12
(January, 2020),
pp. 22182236 [doi] [abs]
 Toader, AC; Rao, HM; Ryoo, M; Bohlen, MO; Cruger, JS; OhDescher, H; Ferrari, S; Egner, T; Beck, J; Sommer, MA, Probabilistic inferential decisionmaking under time pressure in rhesus macaques (Macaca mulatta).,
Journal of Comparative Psychology, vol. 133 no. 3
(August, 2019),
pp. 380396 [doi] [abs]
 Zhu, P; Ferrari, S; Morelli, J; Linares, R; Doerr, B, Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps.,
Sensors (Basel, Switzerland), vol. 19 no. 7
(March, 2019) [doi] [abs]
 Wei, H; Zhu, P; Liu, M; How, JP; Ferrari, S, Automatic pantilt camera control for learning Dirichlet Process Gaussian Process (DPGP) mixture models of multiple moving targets,
Ieee Transactions on Automatic Control, vol. 64 no. 1
(January, 2019),
pp. 159173, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Gemerek, J; Ferrari, S; Wang, BH; Campbell, ME, Videoguided Camera Control for Target Tracking and Following,
Ifac Papersonline, vol. 51 no. 34
(January, 2019),
pp. 176183 [doi] [abs]
 Foderaro, G; Zhu, P; Wei, H; Wettergren, TA; Ferrari, S, Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking,
Ieee Transactions on Control of Network Systems, vol. 5 no. 1
(March, 2018),
pp. 142153, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Zhang, X; Foderaro, G; Henriquez, C; Ferrari, S, A Scalable WeightFree Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks.,
International Journal of Neural Systems, vol. 28 no. 2
(March, 2018),
pp. 1750015 [doi] [abs]
 OhDescher, H; Beck, JM; Ferrari, S; Sommer, MA; Egner, T, Probabilistic inference under time pressure leads to a corticaltosubcortical shift in decision evidence integration.,
Neuroimage, vol. 162
(November, 2017),
pp. 138150 [doi] [abs]
 Rudd, K; Foderaro, G; Zhu, P; Ferrari, S, A generalized reduced gradient method for the optimal control of verylargescale robotic systems,
Ieee Transactions on Robotics, vol. 33 no. 5
(October, 2017),
pp. 12261232, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Foderaro, G; Swingler, A; Ferrari, S, A modelbased approach to optimizing Ms. PacMan game strategies in real time,
Ieee Transactions on Computational Intelligence and Ai in Games, vol. 9 no. 2
(June, 2017),
pp. 153165, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Oh, H; Beck, JM; Zhu, P; Sommer, MA; Ferrari, S; Egner, T, Satisficing in splitsecond decision making is characterized by strategic cue discounting.,
J Exp Psychol Learn Mem Cogn, vol. 42 no. 12
(December, 2016),
pp. 19371956 [doi] [abs]
 Wei, H; Lu, W; Zhu, P; Ferrari, S; Liu, M; Klein, RH; Omidshafiei, S; How, JP, Information value in nonparametric Dirichletprocess Gaussianprocess (DPGP) mixture models,
Automatica, vol. 74
(December, 2016),
pp. 360368, Elsevier BV [doi] [abs]
 Mazumder, P; Hu, D; Ebong, I; Zhang, X; Xu, Z; Ferrari, S, Digital implementation of a virtual insect trained by spiketiming dependent plasticity,
Integration, the Vlsi Journal, vol. 54
(June, 2016),
pp. 109117, Elsevier BV [doi] [abs]
 Ferrari, S; Foderaro, G; Zhu, P; Wettergren, TA, Distributed Optimal Control of Multiscale Dynamical Systems: A Tutorial,
Ieee Control Systems, vol. 36 no. 2
(April, 2016),
pp. 102116, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Albertson, JD; Harvey, T; Foderaro, G; Zhu, P; Zhou, X; Ferrari, S; Amin, MS; Modrak, M; Brantley, H; Thoma, ED, A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production.,
Environmental Science & Technology, vol. 50 no. 5
(March, 2016),
pp. 24872497 [doi] [abs]
 Lu, W; Zhu, P; Ferrari, S, A hybridadaptive dynamic programming approach for the modelfree control of nonlinear switched systems,
Ieee Transactions on Automatic Control, vol. 61 no. 10
(January, 2016),
pp. 32033208, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Wei, H; Ferrari, S, A geometric transversals approach to sensor motion planning for tracking maneuvering targets,
Ieee Transactions on Automatic Control, vol. 60 no. 10
(October, 2015),
pp. 27732778, Institute of Electrical and Electronics Engineers (IEEE) [doi] [abs]
 Rudd, K; Ferrari, S, A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks,
Neurocomputing, vol. 155
(January, 2015),
pp. 277285 [doi] [abs]
 Wei, H; Ferrari, S, A geometric transversals approach to analyzing the probability of track detection for maneuvering targets,
Ieee Transactions on Computers, vol. 63 no. 11
(November, 2014),
pp. 26332646, Institute of Electrical and Electronics Engineers (IEEE), ISSN 00189340 [doi] [abs]
 Rudd, K; Di Muro, G; Ferrari, S, A constrained backpropagation approach for the adaptive solution of partial differential equations.,
Ieee Transactions on Neural Networks and Learning Systems, vol. 25 no. 3
(March, 2014),
pp. 571584, ISSN 2162237X [doi] [abs]
 Lu, W; Zhang, G; Ferrari, S, An information potential approach to integrated sensor path planning and control,
Ieee Transactions on Robotics, vol. 30 no. 4
(January, 2014),
pp. 919934, Institute of Electrical and Electronics Engineers (IEEE), ISSN 15523098 [doi] [abs]
 Rudd, K; Albertson, JD; Ferrari, S, Optimal root profiles in waterlimited ecosystems,
Advances in Water Resources, vol. 71
(January, 2014),
pp. 1622, Elsevier BV, ISSN 03091708 [doi] [abs]
 Lu, W; Zhang, G; Ferrari, S; Anderson, M; Fierro, R, A particlefilter information potential method for tracking and monitoring maneuvering targets using a mobile sensor agent,
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, vol. 11 no. 1
(January, 2014),
pp. 4758, SAGE Publications, ISSN 15485129 [doi] [abs]
 Foderaro, G; Ferrari, S; Wettergren, TA, Distributed optimal control for multiagent trajectory optimization,
Automatica, vol. 50 no. 1
(January, 2014),
pp. 149154, ISSN 00051098 [doi] [abs]
 Zielinski, DJ; McMahan, RP; Lu, W; Ferrari, S, ML2VR: Providing MATLAB users an easy transition to virtual reality and immersive interactivity,
Proceedings Ieee Virtual Reality
(October, 2013),
pp. 8384, IEEE [doi] [abs]
 Ferrari, S; Rudd, K; Di Muro, G, A Constrained Backpropagation Approach to Function Approximation and Approximate Dynamic Programming
(February, 2013),
pp. 162181, JOHN WILEY & SONS INC [doi] [abs]
 Zhang, X; Xu, Z; Henriquez, C; Ferrari, S, Spikebased indirect training of a spiking neural networkcontrolled virtual insect,
Proceedings of the Ieee Conference on Decision and Control
(January, 2013),
pp. 67986805, IEEE, ISSN 01912216 [doi] [abs]
 Wei, H; Ross, W; Varisco, S; Krief, P; Ferrari, S, Modeling of human driver behavior via receding horizon and artificial neural network controllers,
Proceedings of the Ieee Conference on Decision and Control
(January, 2013),
pp. 67786785, IEEE, ISSN 01912216 [doi] [abs]
 Swingler, A; Ferrari, S, On the duality of robot and sensor path planning,
Proceedings of the Ieee Conference on Decision and Control
(January, 2013),
pp. 984989, IEEE, ISSN 01912216 [doi] [abs]
 Rudd, K; Foderaro, G; Ferrari, S, A generalized reduced gradient method for the optimal control of multiscale dynamical systems,
Proceedings of the Ieee Conference on Decision and Control
(January, 2013),
pp. 38573863, IEEE, ISSN 01912216 [doi] [abs]
 Lu, W; Ferrari, S, An approximate dynamic programming approach for modelfree control of switched systems,
Proceedings of the Ieee Conference on Decision and Control
(January, 2013),
pp. 38373844, IEEE, ISSN 01912216 [doi] [abs]
 Zielinski, D; Kopper, R; McMahan, RP; Lu, W; Ferrari, S, Intercept Tags: Enhancing Interceptbased Systems,
Virtual Reality Software and Technology, 2013 Acm Symposium On
(2013),
pp. 263266, ACM Press [doi] [abs]
 Foderaro, G; Ferrari, S; Wettergren, TA, Distributed optimal control for multiagent trajectory optimization,
Automatica
(2013), ISSN 00051098
 Tolic, D; Fierro, R; Ferrari, S, Optimal selftriggering for nonlinear systems via Approximate Dynamic Programming,
Proceedings of the Ieee International Conference on Control Applications
(December, 2012),
pp. 879884, IEEE [doi] [abs]
 Foderaro, G; Swingler, A; Ferrari, S, A modelbased cell decomposition approach to online pursuitevasion path planning and the video game Ms. PacMan,
2012 Ieee Conference on Computational Intelligence and Games, Cig 2012
(December, 2012),
pp. 281287, IEEE [doi] [abs]
 Zhang, G; Ferrari, S; Cai, C, A comparison of information functions and search strategies for sensor planning in target classification.,
Ieee Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society, vol. 42 no. 1
(February, 2012),
pp. 216 [22057064], [doi] [abs]
 Ferrari, S; Daugherty, G, A Qlearning approach to automated unmanned air vehicle demining,
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, vol. 9 no. 1
(January, 2012),
pp. 8392, SAGE Publications, ISSN 15485129 [doi] [abs]
 Maheswaranathan, N; Ferrari, S; Vandongen, AMJ; Henriquez, CS, Emergent bursting and synchrony in computer simulations of neuronal cultures.,
Frontiers in Computational Neuroscience, vol. 6
(2012),
pp. 15 [22514531], [doi] [abs]
 Ferrari, S; Anderson, M; Fierro, R; Lu, W, Cooperative navigation for heterogeneous autonomous vehicles via approximate dynamic programming,
Proceedings of the Ieee Conference on Decision and Control
(December, 2011),
pp. 121127, IEEE, ISSN 01912216 [doi] [abs]
 Foderaro, G; Raju, V; Ferrari, S, A cell decomposition approach to online evasive path planning and the video game Ms. PacMan,
Ieee International Symposium on Intelligent Control Proceedings
(November, 2011),
pp. 191197, IEEE [doi] [abs]
 Lu, W; Zhang, G; Ferrari, S; Fierro, R; Palunko, I, An information potential approach for tracking and surveilling multiple moving targets using mobile sensor agents,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 8045
(September, 2011), SPIE, ISSN 0277786X [doi] [abs]
 Foderaro, G; Raju, V; Ferrari, S, A modelbased approximate λpolicy iteration approach to online evasive path planning and the video game Ms. PacMan,
Journal of Control Theory and Applications, vol. 9 no. 3
(August, 2011),
pp. 391399, Springer Nature, ISSN 16726340 [doi] [abs]
 Ferrari, S; Sarangapani, J; Lewis, FL, Special issue on approximate dynamic programming and reinforcement learning,
Journal of Control Theory and Applications, vol. 9 no. 3
(August, 2011),
pp. 309, Springer Nature, ISSN 16726340 [doi]
 Bezzo, N; Fierro, R; Swingler, A; Ferrari, S, A disjunctive programming approach for motion planning of mobile router networks,
International Journal of Robotics and Automation, vol. 26 no. 1
(March, 2011),
pp. 1325, ACTA Press, ISSN 08268185 [doi] [abs]
 Ferrari, S; Zhang, G; Wettergren, TA, Probabilistic track coverage in cooperative sensor networks.,
Ieee Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society, vol. 40 no. 6
(December, 2010),
pp. 14921504 [20236903], [doi] [abs]
 Ferrari, S; Foderaro, G, A potential field approach to finding minimumexposure paths in wireless sensor networks,
Proceedings Ieee International Conference on Robotics and Automation
(August, 2010),
pp. 335341, IEEE, ISSN 10504729 [doi] [abs]
 Ferrari, S; Foderaro, G; Tremblay, A, A probability density function approach to distributed sensors' path planning,
Proceedings Ieee International Conference on Robotics and Automation
(August, 2010),
pp. 432439, IEEE, ISSN 10504729 [doi] [abs]
 Ferrari, S; Daugherty, G, Qlearning approach to automated Unmanned Air Vehicle (UAV) demining,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 7692
(June, 2010), SPIE, ISSN 0277786X [doi] [abs]
 Foderaro, G; Henriquez, C; Ferrari, S, Indirect training of a spiking neural network for flight control via spiketimingdependent synaptic plasticity,
Proceedings of the Ieee Conference on Decision and Control
(January, 2010),
pp. 911917, IEEE, ISSN 01912216 [doi] [abs]
 Swingler, A; Ferrari, S, A cell decomposition approach to cooperative path planning and collision avoidance via disjunctive programming,
Proceedings of the Ieee Conference on Decision and Control
(January, 2010),
pp. 63296336, IEEE, ISSN 01912216 [doi] [abs]
 Bernard, B; Ferrari, S, A geometric transversals approach to analyzing track coverage of omnidirectional sensor networks for maneuvering targets,
Proceedings of the Ieee Conference on Decision and Control
(January, 2010),
pp. 12431249, IEEE, ISSN 01912216 [doi] [abs]
 Foderaro, G; Ferrari, S, Necessary conditions for optimality for a distributed optimal control problem,
Proceedings of the Ieee Conference on Decision and Control
(January, 2010),
pp. 48314838, IEEE, ISSN 01912216 [doi] [abs]
 Lu, W; Zhang, G; Ferrari, S, A randomized hybrid system approach to coordinated robotic sensor planning,
Proceedings of the Ieee Conference on Decision and Control
(January, 2010),
pp. 38573864, IEEE, ISSN 01912216 [doi] [abs]
 Ferrari, S; Fierro, R; Tolic, D, A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network,
Proceedings of the Ieee Conference on Decision and Control
(December, 2009),
pp. 10801087, IEEE, ISSN 01912216 [doi] [abs]
 Di Muro, G; Ferrari, S, A constrained backpropagation approach to solving Partial Differential Equations in nonstationary environments,
Proceedings of the International Joint Conference on Neural Networks
(November, 2009),
pp. 685689, IEEE [doi] [abs]
 Baumgartner, KAC; Ferrari, S; Rao, AV, Optimal control of an underwater sensor network for cooperative target tracking,
Ieee Journal of Oceanic Engineering, vol. 34 no. 4
(November, 2009),
pp. 678697, Institute of Electrical and Electronics Engineers (IEEE), ISSN 03649059 [doi] [abs]
 Baumgartner, KAC; Ferrari, S; Wettergren, TA, Robust deployment of dynamic sensor networks for cooperative track detection,
Ieee Sensors Journal, vol. 9 no. 9
(September, 2009),
pp. 10291048, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1530437X [doi] [abs]
 Zhang, G; Ferrari, S; Qian, M, An information roadmap method for robotic sensor path planning,
Journal of Intelligent and Robotic Systems, vol. 56 no. 12
(September, 2009),
pp. 6998, Springer Nature, ISSN 09210296 [doi] [abs]
 Ferrari, S; Cai, C, Informationdriven search strategies in the board game of CLUE.,
Ieee Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society, vol. 39 no. 3
(June, 2009),
pp. 607625 [19174352], [doi] [abs]
 Cai, C; Ferrari, S, Informationdriven sensor path planning by approximate cell decomposition.,
Ieee Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society, vol. 39 no. 3
(June, 2009),
pp. 672689 [19193512], [doi] [abs]
 Ferrari, S, Multiobjective algebraic synthesis of neural control systems by implicit model following.,
Ieee Transactions on Neural Networks, vol. 20 no. 3
(March, 2009),
pp. 406419 [19203887], [doi] [abs]
 Ferrari, S; Fierro, R; Perteet, B; Cai, C; Baumgartner, K, A geometric optimization approach to detecting and intercepting dynamic targets using a mobile sensor network,
Siam Journal on Control and Optimization, vol. 48 no. 1
(January, 2009),
pp. 292320, Society for Industrial & Applied Mathematics (SIAM), ISSN 03630129 [doi] [abs]
 Zhang, G; Ferrari, S, An adaptive artificial potential function approach for geometric sensing,
Proceedings of the Ieee Conference on Decision and Control
(January, 2009),
pp. 97039708, IEEE, ISSN 01912216 [doi] [abs]
 Fierro, R; Ferrari, S; Cai, C, An informationdriven framework for motion planning in robotic sensor networks: Complexity and experiments,
Proceedings of the Ieee Conference on Decision and Control
(December, 2008),
pp. 483489, IEEE, ISSN 01912216 [doi] [abs]
 Di Muro, G; Ferrari, S, A constrainedoptimization approach to training neural networks for smooth function approximation and system identification,
Proceedings of the International Joint Conference on Neural Networks
(November, 2008),
pp. 23532359, IEEE [doi] [abs]
 Ferrari, S; Mehta, B; Di Muro, G; VanDongen, AMJ; Henriquez, C, Biologically realizable rewardmodulated hebbian training for spiking neural networks,
Proceedings of the International Joint Conference on Neural Networks
(November, 2008),
pp. 17801786, IEEE [doi] [abs]
 Cai, C; Ferrari, S, A Qlearning approach to developing an automated neural computer player for the board game of CLUE®,
Proceedings of the International Joint Conference on Neural Networks
(November, 2008),
pp. 23462352, IEEE [doi] [abs]
 Baumgartner, K; Ferrari, S; Palermo, G, Constructing Bayesian networks for criminal profiling from limited data,
Knowledge Based Systems, vol. 21 no. 7
(October, 2008),
pp. 563572, Elsevier BV, ISSN 09507051 (Available online at: http://dx.doi.org/10.1016/j.knosys.2008.03.019.) [doi] [abs]
 Ferrari, S; Steck, JE; Chandramohan, R, Adaptive feedback control by constrained approximate dynamic programming.,
Ieee Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society, vol. 38 no. 4
(August, 2008),
pp. 982987 [18632388], [doi] [abs]
 Baumgartner, K; Ferrari, S, A geometric transversal approach to analyzing track coverage in sensor networks,
Ieee Transactions on Computers, vol. 57 no. 8
(August, 2008),
pp. 11131128, Institute of Electrical and Electronics Engineers (IEEE), ISSN 00189340 [doi] [abs]
 Ferrari, S; Jensenius, M, A constrained optimization approach to preserving prior knowledge during incremental training.,
Ieee Transactions on Neural Networks, vol. 19 no. 6
(June, 2008),
pp. 9961009, ISSN 10459227 [18541500], [doi] [abs]
 Bruzzone, R; Strano, M; Palermo, G; Baumgartner, KC; Ferrari, S, Network Models of Criminal Behavior,
Ieee Control Systems, vol. 28 no. 4
(January, 2008),
pp. 6577, Institute of Electrical and Electronics Engineers (IEEE), ISSN 08880611 [doi] [abs]
 Ferrari, S., Stengel, R. F., Classical/Neural Synthesis of Nonlinear Control Systems,
Journal of Guidance, Control, and Dynamics, vol. 25 no. 3
(MayJune 2002),
pp. 442448
 Ferrari, S., Stengel, R. F., Online Adaptive Critic Flight Control,
Journal of Guidance, Control, and Dynamics, vol. 27 no. 5
(SeptOct 2004),
pp. 777786
 Ferrari, S., Stengel, R. F., Smooth Function Approximation by Neural Networks,
IEEE Transactions on Neural Networks, vol. 16 no. 1
(January 2005),
pp. 2438
 Ferrari, S., Vaghi, A., Demining Sensor Modeling and Featurelevel Fusion by Bayesian Networks,
IEEE Sensors Journal, vol. 6 no. 2
(April 2006),
pp. 471483
 Crews B. K., Ferrari, S., Salfati, C. G., Bayesian Network Modeling of Offender Behavior for Criminal Profiling,
Proc. of the 44th IEEE Conference on Decision and Control, and the European Control Conference
(December 1215, 2005),
pp. 27022709 (Seville, Spain.)
 S. Ferrari, Track Coverage in Sensor Networks,
Proc. of the 2006 American Control Conference, Minneapolis, MN
(June 2006),
pp. 20532059
 Cai, C., and Ferrari, S., On the Development of an Intelligent Computer Player for CLUE®, the Great Detective Boardgame: A Case Study in Preposterior Decision Analysis,
Proc. of the 2006 American Control Conference, Minneapolis, MN
(June 2006),
pp. 43504355
 Baumgartner, K. C., and Ferrari, S., Optimal Control of a Moving Sensor Network for Track Coverage,
Proc. of the 2007 American Control Conference, New York, NY
(July 2007),
pp. 40404046
 Ferrari, S., Cai, C., Fierro, R., and Perteet, B., A MultiObjective Optimization Approach to Detecting and Tracking Dynamic Targets in PursuitEvasion Games,
Proc. of the 2007 American Control Conference, New York, NY
(July 2007),
pp. 53165321
 Ferrari, S., and Jensenius M., A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training,
IEEE Transactions on Neural Networks, vol. 19 no. 6
(June 2008)
 Ferrari, S; Fierro, R; Perteet, B; Cai, C; Baumgartner, KC, A MultiObjective Optimization Approach to Detecting and Intercepting Dynamic Targets Using Mobile Sensors,
Siam Journal on Control and Optimization
(2008)
 Cai, C; Ferrari, S, Comparison of informationtheoretic objective functions for decision support in sensor systems,
Proceedings of the American Control Conference
(December, 2007),
pp. 35593564, IEEE, ISSN 07431619 [doi] [abs]
 Baumgartner, K; Ferrari, S, Optimal placement of a moving sensor network for track coverage,
Proceedings of the American Control Conference
(December, 2007),
pp. 40404046, IEEE, ISSN 07431619 [doi] [abs]
 Ferrari, S; Cai, C; Fierro, R; Perteet, B, A geometric optimization approach to detecting and intercepting dynamic targets,
Proceedings of the American Control Conference
(December, 2007),
pp. 53165321, IEEE, ISSN 07431619 [doi] [abs]
 Cai, C; Ferrari, S; Qian, M, Bayesian network modeling of acoustic sensor measurements,
Proceedings of Ieee Sensors
(December, 2007),
pp. 345348, IEEE [doi] [abs]
 Chandramohan, R; Steck, JE; Rokhsaz, K; Ferrari, S, Adaptive critic flight control for a general aviation aircraft: Simulations for the beech bonanza flybywire test bed,
Collection of Technical Papers 2007 Aiaa Infotech at Aerospace Conference, vol. 1
(January, 2007),
pp. 840855 [doi] [abs]
 Cai, C; Ferrari, S, On the development of an intelligent computer player for CLUE®: A case study on preposterior decision analysis,
Proceedings of the American Control Conference, vol. 2006
(December, 2006),
pp. 43504355, ISSN 07431619 [abs]
 S. Ferrari and A. Vaghi, Demining sensor modeling and featurelevel fusion by Bayesian networks,
Ieee Sensors Journal, vol. 6 no. 2
(April, 2006),
pp. 471  483, ISSN 1530437X
 Ferrari, S; Vaghi, A, Demining sensor modeling and featurelevel fusion by bayesian networks,
Ieee Sensors Journal, vol. 6 no. 2
(April, 2006),
pp. 471483, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1530437X [JSEN.2006.870162], [doi] [abs]
 Ferrari, S, Track coverage in sensor networks,
Proceedings of the American Control Conference, vol. 2006
(January, 2006),
pp. 20532059, IEEE, ISSN 07431619 [doi] [abs]
 Baumgartner, KC; Ferrari, S; Salfati, CG, Bayesian network modeling of offender behavior for criminal profiling,
Proceedings of the 44th Ieee Conference on Decision and Control, and the European Control Conference, Cdc Ecc '05, vol. 2005
(December, 2005),
pp. 27022709, IEEE, Seville, Spain [CDC.2005.1582571], [doi] [abs]
 Qian, M; Ferrari, S, Probabilistic deployment for multiple sensor systems,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 5765 no. PART 1
(September, 2005),
pp. 8596, SPIE, San Diego, CA, United States, ISSN 0277786X [12.601597], [doi] [abs]
 S. Ferrari and R. F. Stengel, Smooth function approximation using neural networks,
Ieee Transactions On Neural Networks, vol. 16 no. 1
(January, 2005),
pp. 24  38, ISSN 10459227
 Ferrari, S; Jensenius, M, Robust and reconfigurable flight control by neural networks,
Collection of Technical Papers Infotech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration, vol. 2
(January, 2005),
pp. 11611166, Arlington, VA, United States [doi] [abs]
 Ferrari, S; Stengel, RF, Smooth function approximation using neural networks.,
Ieee Transactions on Neural Networks, vol. 16 no. 1
(January, 2005),
pp. 2438, ISSN 10459227 [15732387], [doi] [abs]
 Ferrari, S; Stengel, RF, Online adaptive critic flight control,
Journal of Guidance, Control, and Dynamics, vol. 27 no. 5
(January, 2004),
pp. 777786, American Institute of Aeronautics and Astronautics (AIAA), ISSN 07315090 [doi] [abs]
 S. Ferrari and R. F. Stengel, Online adaptive critic flight control,
Journal Of Guidance Control And Dynamics, vol. 27 no. 5
(2004),
pp. 777  786, ISSN 07315090
 Ferrari, S; Stengel, RF, Classical/neural synthesis of nonlinear control systems,
Journal of Guidance, Control, and Dynamics, vol. 25 no. 3
(January, 2002),
pp. 442448, American Institute of Aeronautics and Astronautics (AIAA) [doi] [abs]
 Ferrari, S; Stengel, RF, An adaptive critic global controller,
Proceedings of the American Control Conference, vol. 4
(January, 2002),
pp. 26652670, IEEE, Anchorage, AK, United States, ISSN 07431619 [ACC.2002.1025189], [doi] [abs]
 Ferrari, S; Stengel, RF, Algebraic training of a neural network,
Proceedings of the American Control Conference, vol. 2
(January, 2001),
pp. 16051610, IEEE [doi] [abs]
 Ferrari, S; Stengel, RF, Classical/neural synthesis of nonlinear control systems,
Aiaa Guidance, Navigation, and Control Conference and Exhibit, vol. 25 no. 3
(December, 2000),
pp. 442448 [abs]
 Crispin, Y; Ferrari, S, Adaptive control of chaos induced capsizing of a ship,
Intelligent Engineering Systems Through Artificial Neural Networks, vol. 5
(December, 1995),
pp. 569574, St.Louis, MO, USA [abs]
Papers Published
 Yang, H; Jing, D; Tarokh, V; Bewley, G; Ferrari, S, Flow parameter estimation based on onboard measurements of air vehicle traversing turbulent flows,
Aiaa Scitech 2021 Forum
(January, 2021),
pp. 110, ISBN 9781624106095 [abs]
 Liu, C; Liao, Z; Ferrari, S, Rumorrobust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets,
Proceedings of the Ieee Conference on Decision and Control, vol. 2020December
(December, 2020),
pp. 30663071, ISBN 9781728174471 [doi] [abs]
 Dong, J; Zhu, P; Ferrari, S, Oriented Pedestrian Social Interaction Modeling and Inference,
Proceedings of the American Control Conference, vol. 2020July
(July, 2020),
pp. 13731380, ISBN 9781538682661 [doi] [abs]
 Legrand, K; Ferrari, S, The role of bounded fieldsofview and negative information in finite set statistics (FISST),
Proceedings of 2020 23rd International Conference on Information Fusion, Fusion 2020
(July, 2020), ISBN 9780578647098 [doi] [abs]
 Tilmon, B; Jain, E; Ferrari, S; Koppal, S, FoveaCam: A MEMS mirrorenabled foveating camera,
Ieee International Conference on Computational Photography, Iccp 2020
(April, 2020), ISBN 9781728152301 [doi] [abs]
 Morelli, J; Zhu, P; Doerr, B; Linares, R; Ferrari, S, Integrated mapping and path planning for very largescale robotic (VLSR) systems,
Proceedings Ieee International Conference on Robotics and Automation, vol. 2019May
(May, 2019),
pp. 33563362, ISBN 9781538660263 [doi] [abs]
 Liu, C; Chen, Y; Gemerek, J; Yang, H; Ferrari, S, Learning recursive bayesian nonparametric modeling of moving targets via mobile decentralized sensors,
Proceedings Ieee International Conference on Robotics and Automation, vol. 2019May
(May, 2019),
pp. 80348040, ISBN 9781538660263 [doi] [abs]
 Liu, C; Ferrari, S, Visionguided planning and control for autonomous taxiing via convolutional neural networks,
Aiaa Scitech 2019 Forum
(January, 2019), ISBN 9781624105784 [doi] [abs]
 Doerr, B; Linares, R; Zhu, P; Ferrari, S, Random finite set theory and optimal control of large spacecraft swarms,
Advances in the Astronautical Sciences, vol. 168
(January, 2019),
pp. 37293748, ISBN 9780877036593 [abs]
 Clawson, TS; Stewart, TC; Eliasmith, C; Ferrari, S, An adaptive spiking neural controller for flapping insectscale robots,
2017 Ieee Symposium Series on Computational Intelligence, Ssci 2017 Proceedings, vol. 2018January
(February, 2018),
pp. 17, IEEE, ISBN 9781538627259 [doi] [abs]
 Zhu, P; Isaacs, J; Fu, B; Ferrari, S, Deep learning feature extraction for target recognition and classification in underwater sonar images,
2017 Ieee 56th Annual Conference on Decision and Control, Cdc 2017, vol. 2018January
(January, 2018),
pp. 27242731, IEEE, ISBN 9781509028733 [doi] [abs]
 Chang, S; Isaacs, J; Fu, B; Shin, J; Zhu, P; Ferrari, S, Confidence level estimation in multitarget classification problems,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 10628
(January, 2018), SPIE, ISBN 9781510617674 [doi] [abs]
 Fu, B; Ferrari, S, Robust flight control via minimum H∞ entropy principle,
Aiaa Guidance, Navigation, and Control Conference, 2018 no. 210039
(January, 2018), American Institute of Aeronautics and Astronautics, ISBN 9781624105265 [doi] [abs]
 Gemerek, JR; Ferrari, S; Albertson, JD, Fugitive gas emission rate estimation using multiple heterogeneous mobile sensors,
Isoen 2017 Isocs/Ieee International Symposium on Olfaction and Electronic Nose, Proceedings
(July, 2017), IEEE, ISBN 9781509023912 [doi] [abs]
 Clawson, TS; Fuller, SB; Wood, RJ; Ferrari, S, A blade element approach to modeling aerodynamic flight of an insectscale robot,
Proceedings of the American Control Conference
(June, 2017),
pp. 28432849, IEEE, ISBN 9781509059928 [doi] [abs]
 Clawson, TS; Ferrari, S; Fuller, SB; Wood, RJ, Spiking neural network (SNN) control of a flapping insectscale robot,
2016 Ieee 55th Conference on Decision and Control, Cdc 2016
(December, 2016),
pp. 33813388, IEEE, ISBN 9781509018376 [doi] [abs]
 Zhu, P; Morelli, J; Ferrari, S, Value function approximation for the control of multiscale dynamical systems,
2016 Ieee 55th Conference on Decision and Control, Cdc 2016
(December, 2016),
pp. 54715477, IEEE, ISBN 9781509018376 [doi] [abs]
 Zhu, P; Wei, H; Lu, W; Ferrari, S, Multikernel probability distribution regressions,
Proceedings of the International Joint Conference on Neural Networks, vol. 2015September
(September, 2015), IEEE, ISBN 9781479919604 [doi] [abs]
 Albertson, JD; FosterWittig, TA; Ferrari, S; Katul, G; Thoma, E, Bayesian estimation of methane emission rates from a single highfrequency gas sensor,
Proceedings of the Air and Waste Management Association'S Annual Conference and Exhibition, Awma, vol. 1
(January, 2014),
pp. 622626, ISSN 10526102, ISBN 9781634397322 [abs]
 Hu, D; Zhang, X; Xu, Z; Ferrari, S; Mazumder, P, Digital implementation of a spiking neural network (SNN) capable of spiketimingdependent plasticity (STDP) learning,
14th Ieee International Conference on Nanotechnology, Ieee Nano 2014
(January, 2014),
pp. 873876, IEEE, ISBN 9781479956227 [doi] [abs]
 Wei, H; Lu, W; Zhu, P; Huang, G; Leonard, J; Ferrari, S, Optimized visibility motion planning for target tracking and localization,
Ieee International Conference on Intelligent Robots and Systems
(January, 2014),
pp. 7682, IEEE, ISSN 21530858, ISBN 9781479969340 [doi] [abs]
 Wei, H; Lu, W; Zhu, P; Ferrari, S; Klein, RH; Omidshafiei, S; How, JP, Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichletprocess Gaussianprocess (DPGP) models,
Ieee International Conference on Intelligent Robots and Systems
(January, 2014),
pp. 95102, IEEE, ISSN 21530858, ISBN 9781479969340 [doi] [abs]
 Bellini, AC; Lu, W; Naldi, R; Ferrari, S, Information driven path planning and control for collaborative aerial robotic sensors using artificial potential functions,
Proceedings of the American Control Conference
(January, 2014),
pp. 590597, IEEE, ISSN 07431619, ISBN 9781479932726 [doi] [abs]
 Lu, W; Ferrari, S; Fierro, R; Wettergren, TA, Approximate dynamic programming recurrence relations for a hybrid optimal control problem,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 8387
(December, 2012), SPIE, ISSN 0277786X, ISBN 9780819490650 [Gateway.cgi], [doi] [abs]
 Lu, W; Zhang, G; Ferrari, S, A comparison of information theoretic functions for tracking maneuvering targets,
2012 Ieee Statistical Signal Processing Workshop, Ssp 2012
(November, 2012),
pp. 149152, IEEE, ISBN 9781467301831 [Gateway.cgi], [doi] [abs]
 Ferrari, S; Stengel, RF, Classical/neural synthesis of nonlinear control systems,
Aiaa Guidance, Navigation, and Control Conference and Exhibit
(January, 2000), ISBN 9781563479786 [doi] [abs]
 Crispin, Y; Ferrari, S, Modelreference adaptive control of chaos in periodically forced dynamical systems,
6th Symposium on Multidisciplinary Analysis and Optimization
(January, 1996),
pp. 882890 [abs]
