Silvia Ferrari | Scholars@Duke

Silvia Ferrari
Adjunct Professor in the Department of Mechanical Engineering and Materials Science

Professor Ferrari's research aims at providing intelligent control systems with a higher degree of mathematical structure to guide their application and improve reliability. Decision-making processes are automated based on concepts drawn from control theory and the life sciences. Recent efforts have focused on the development of reconfigurable controllers implementing neural networks with procedural long-term memories. Full-scale simulations show that these controllers are capable of learning from new and unmodeled aircraft dynamics in real time, improving performance and even preventing loss of control in the event of control failures, nonlinear and near-stall dynamics, and parameter variations. New optimal control problems and methods based on computational geometry are being investigated to improve the effectiveness of integrated surveillance systems by networks of autonomous vehicles, such as, underwater gliders and ground robots.

Current Appointments & Affiliations

Adjunct Professor in the Department of Mechanical Engineering and Materials Science, Pratt School of Engineering, Duke University 2017
Faculty Network Member of the Duke Institute for Brain Sciences, Duke Institute for Brain Sciences, University Institutes and Centers 2011

Contact Information

144 Hudson Hall, Box 90300, Durham, NC 27708
301 Gross Hall, Durham, NC 27708
silvia.ferrari@duke.edu

Background
Education, Training, & Certifications
- Ph.D., Princeton University 2002
- M.A., Princeton University 1999
- B.S., Embry-Riddle Aeronautical University 1997
Duke Appointment History
- Adjunct Professor in the Department of Mechanical Engineering and Materials Science, Mechanical Engineering and Materials Science, Pratt School of Engineering 2015 - 2017
- Professor of Mechanical Engineering and Materials Science, Mechanical Engineering and Materials Science, Pratt School of Engineering 2014 - 2015
- Assistant Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2009 - 2014
- Assistant Professor in the Department of Computer Science, Computer Science, Trinity College of Arts & Sciences 2010 - 2013
- Associate Professor of Mechanical Engineering and Materials Science, Mechanical Engineering and Materials Science, Pratt School of Engineering 2010 - 2013
- Assistant Professor of Mechanical Engineering and Materials Science, Mechanical Engineering and Materials Science, Pratt School of Engineering 2002 - 2009
Recognition
In the News
- JUN 3, 2014 LiveScience
  
  Engineers model better navigation systems after brain’s adaptability
Awards & Honors
- Faculty Early Career Development (CAREER) Program. National Science Foundation. 2005
Research
Selected Grants
- Bayesian Nonparametric Models to Represent Knowledge and Uncertainty for Decentralizing Planning awarded by Massachusetts Institute of Technology 2011 - 2018
- Collaborative Research: A Distributed Approximate Dynamic Programming (ADP) Approach for Robust Adaptive Control of Mult awarded by National Science Foundation 2014 - 2017
- MRI: Acquisition of a High-Resolution Stereoscopic Interactive Visualization System for Research and Education in Scienc awarded by National Science Foundation 2014 - 2016
- Collaborative Research: A Neurodynamic Programming Approach for the Modeling, Analysis, and Control of Nanoscale Neuromo awarded by National Science Foundation 2012 - 2015
- Development of a Human Pilot Model for Autonomous Driving of Vehicle Models and Reproduc the behaviour of Ferrari Driver awarded by Ferrari S.p.A. 2013 - 2014
- A Distributed Optimal Control Approach to Managing Risk and Uncertainty in Multi-Agent Systems awarded by Office of Naval Research 2010 - 2014
- Analysis and Design of Cultured Neuronal Networks for Adaptive and Reconfigurable Control awarded by National Science Foundation 2009 - 2014
- Collaborative Research: An Adaptive Dynamic Programming Approach to the Coordination of Heterogeneous Robotic Sensors Ne awarded by National Science Foundation 2010 - 2014
- A Constrained Optimization Approach to Supervised Training of Neural Netoworks for Smooth Function Approximation and Sys awarded by National Science Foundation 2008 - 2014
- CAREER: Robust Adaptive Control, Demonstrated for Reconfigurable Flight Systems awarded by National Science Foundation 2005 - 2012
- Optimal dynamic predictions of semi-arid land cover change and implications for ecosystem goods and services awarded by National Aeronautics and Space Administration 2008 - 2012
- Optimal Control of Mobile Sensor Networks awarded by Office of Naval Research 2008 - 2010
- Parametric Control of Underwater Gliders for Acoustic Sensing awarded by Office of Naval Research 2007 - 2008
- Adaptive Sensor Management and Situation Assessment for Surveillance Systems awarded by Office of Naval Research 2004 - 2007
- Analysis and Design of a Global Adaptive Critic Controller awarded by National Science Foundation 2003 - 2006
Publications & Artistic Works
Selected Publications
- Book Sections
  - Ferrari, S, and Stengel, RF. "Model-based adaptive critic designs." In Handbook of Learning and Approximate Dynamic Programming, 65-95. January 1, 2004. Full Text
- Conference Papers
  - Gemerek, JR, Ferrari, S, and Albertson, JD. "Fugitive gas emission rate estimation using multiple heterogeneous mobile sensors." July 5, 2017. Full Text
  - Clawson, TS, Fuller, SB, Wood, RJ, and Ferrari, S. "A blade element approach to modeling aerodynamic flight of an insect-scale robot." June 29, 2017. Full Text
  - Clawson, TS, Ferrari, S, Fuller, SB, and Wood, RJ. "Spiking neural network (SNN) control of a flapping insect-scale robot." December 27, 2016. Full Text
  - Zhu, P, Morelli, J, and Ferrari, S. "Value function approximation for the control of multiscale dynamical systems." December 27, 2016. Full Text
  - Zhu, P, Wei, H, Lu, W, and Ferrari, S. "Multi-kernel probability distribution regressions." September 28, 2015. Full Text
  - Albertson, JD, Foster-Wittig, TA, Ferrari, S, Katul, G, and Thoma, E. "Bayesian estimation of methane emission rates from a single high-frequency gas sensor." January 1, 2014.
  - Bellini, AC, Lu, W, Naldi, R, and Ferrari, S. "Information driven path planning and control for collaborative aerial robotic sensors using artificial potential functions." January 1, 2014. Full Text
  - Hu, D, Zhang, X, Xu, Z, Ferrari, S, and Mazumder, P. "Digital implementation of a spiking neural network (SNN) capable of spike-timing-dependent plasticity (STDP) learning." January 1, 2014. Full Text
  - Wei, H, Lu, W, Zhu, P, Ferrari, S, Klein, RH, Omidshafiei, S, and How, JP. "Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models." January 1, 2014. Full Text
  - Wei, H, Lu, W, Zhu, P, Huang, G, Leonard, J, and Ferrari, S. "Optimized visibility motion planning for target tracking and localization." January 1, 2014. Full Text
  - Lu, W, Ferrari, S, Fierro, R, and Wettergren, TA. "Approximate Dynamic Programming Recurrence Relations for a Hybrid Optimal Control Problem." 2012. Full Text Link to Item
  - Lu, W, Zhang, G, Ferrari, S, and IEEE, . "A COMPARISON OF INFORMATION THEORETIC FUNCTIONS FOR TRACKING MANEUVERING TARGETS." 2012. Link to Item
  - Crispin, Y, and Ferrari, S. "Model-reference adaptive control of chaos in periodically forced dynamical systems." January 1, 1996.
- Journal Articles
  - Zhang, X, Foderaro, G, Henriquez, C, and Ferrari, S. "A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks." International journal of neural systems 28, no. 2 (March 2018): 1750015-. Full Text
  - Oh-Descher, H, Beck, JM, Ferrari, S, Sommer, MA, and Egner, T. "Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration." NeuroImage 162 (November 2017): 138-150. Full Text Open Access Copy
  - Rudd, K, Foderaro, G, Zhu, P, and Ferrari, S. "A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems." IEEE Transactions on Robotics 33, no. 5 (October 2017): 1226-1232. Full Text
  - Foderaro, G, Swingler, A, and Ferrari, S. "A Model-Based Approach to Optimizing Ms. Pac-Man Game Strategies in Real Time." IEEE Transactions on Computational Intelligence and AI in Games 9, no. 2 (June 2017): 153-165. Full Text
  - Oh, H, Beck, JM, Zhu, P, Sommer, MA, Ferrari, S, and Egner, T. "Satisficing in split-second decision making is characterized by strategic cue discounting." Journal of experimental psychology. Learning, memory, and cognition 42, no. 12 (December 2016): 1937-1956. Full Text Open Access Copy
  - Wei, H, Lu, W, Zhu, P, Ferrari, S, Liu, M, Klein, RH, Omidshafiei, S, and How, JP. "Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models." Automatica 74 (December 2016): 360-368. Full Text
  - Lu, W, Zhu, P, and Ferrari, S. "A Hybrid-Adaptive Dynamic Programming Approach for the Model-Free Control of Nonlinear Switched Systems." IEEE Transactions on Automatic Control 61, no. 10 (October 2016): 3203-3208. Full Text
  - Mazumder, P, Hu, D, Ebong, I, Zhang, X, Xu, Z, and Ferrari, S. "Digital implementation of a virtual insect trained by spike-timing dependent plasticity." Integration, the VLSI Journal 54 (June 2016): 109-117. Full Text
  - Ferrari, S, Foderaro, G, Zhu, P, and Wettergren, TA. "Distributed Optimal Control of Multiscale Dynamical Systems: A Tutorial." IEEE Control Systems 36, no. 2 (April 2016): 102-116. Full Text
  - Albertson, JD, Harvey, T, Foderaro, G, Zhu, P, Zhou, X, Ferrari, S, Amin, MS, Modrak, M, Brantley, H, and Thoma, ED. "A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production." Environmental science & technology 50, no. 5 (March 2016): 2487-2497. Full Text
  - Wei, H, and Ferrari, S. "A Geometric Transversals Approach to Sensor Motion Planning for Tracking Maneuvering Targets." IEEE Transactions on Automatic Control 60, no. 10 (October 2015): 2773-2778. Full Text
  - Rudd, K, and Ferrari, S. "A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks." Neurocomputing 155 (May 2015): 277-285. Full Text
  - Rudd, K, and Ferrari, S. "A constrained integration (CINT) approach to solving partial differential equations using artificial neural networks." Neurocomputing 155 (January 1, 2015): 277-285. Full Text
  - Wei, H, and Ferrari, S. "A Geometric Transversals Approach to Analyzing the Probability of Track Detection for Maneuvering Targets." IEEE Transactions on Computers 63, no. 11 (November 2014): 2633-2646. Full Text
  - Rudd, K, Albertson, JD, and Ferrari, S. "Optimal root profiles in water-limited ecosystems." Advances in Water Resources 71 (September 2014): 16-22. Full Text
  - Lu, W, Zhang, G, and Ferrari, S. "An Information Potential Approach to Integrated Sensor Path Planning and Control." IEEE Transactions on Robotics 30, no. 4 (August 2014): 919-934. Full Text
  - Rudd, K, Di Muro, G, and Ferrari, S. "A constrained backpropagation approach for the adaptive solution of partial differential equations." IEEE transactions on neural networks and learning systems 25, no. 3 (March 2014): 571-584. Full Text
  - Foderaro, G, Ferrari, S, and Wettergren, TA. "Distributed optimal control for multi-agent trajectory optimization." Automatica 50, no. 1 (January 1, 2014): 149-154. Full Text
  - Lu, W, Zhang, G, Ferrari, S, Anderson, M, and Fierro, R. "A particle-filter information potential method for tracking and monitoring maneuvering targets using a mobile sensor agent." The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 11, no. 1 (January 2014): 47-58. Full Text
  - Zielinski, DJ, Kopper, R, McMahan, RP, Lu, W, and Ferrari, S. "Intercept tags: Enhancing intercept-based systems." Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST (November 12, 2013): 263-266. Full Text
  - Ferrari, S, Rudd, K, and Di Muro, G. "A Constrained Backpropagation Approach to Function Approximation and Approximate Dynamic Programming." (February 7, 2013): 162-181. (Chapter) Full Text
  - Foderaro, G, Ferrari, S, and Wettergren, TA. "Distributed optimal control for multi-agent trajectory optimization." Automatica (2013).
  - Lu, W, and Ferrari, S. "An approximate dynamic programming approach for model-free control of switched systems." Proceedings of the IEEE Conference on Decision and Control (January 1, 2013): 3837-3844. Full Text
  - Rudd, K, Foderaro, G, and 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 1, 2013): 3857-3863. Full Text
  - Swingler, A, and Ferrari, S. "On the duality of robot and sensor path planning." Proceedings of the IEEE Conference on Decision and Control (January 1, 2013): 984-989. Full Text
  - Wei, H, Ross, W, Varisco, S, Krief, P, and 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 1, 2013): 6778-6785. Full Text
  - Zhang, X, Xu, Z, Henriquez, C, and Ferrari, S. "Spike-based indirect training of a spiking neural network-controlled virtual insect." Proceedings of the IEEE Conference on Decision and Control (January 1, 2013): 6798-6805. Full Text
  - Zielinski, DJ, McMahan, RP, Lu, W, and Ferrari, S. "ML2VR: Providing MATLAB users an easy transition to virtual reality and immersive interactivity." Proceedings - IEEE Virtual Reality (2013): 83-84. Full Text
  - Zhang, G, Ferrari, S, and Cai, C. "A comparison of information functions and search strategies for sensor planning in target classification." IEEE Trans Syst Man Cybern B Cybern 42, no. 1 (February 2012): 2-16. Full Text Link to Item
  - Ferrari, S, and Daugherty, G. "A Q-learning approach to automated unmanned air vehicle demining." Journal of Defense Modeling and Simulation 9, no. 1 (2012): 83-92. Full Text
  - Foderaro, G, Swingler, A, and Ferrari, S. "A model-based cell decomposition approach to on-line pursuit-evasion path planning and the video game Ms. Pac-Man." 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012 (2012): 281-287. Full Text
  - Maheswaranathan, N, Ferrari, S, Vandongen, AMJ, and Henriquez, CS. "Emergent bursting and synchrony in computer simulations of neuronal cultures. (Published online)" Front Comput Neurosci 6 (2012): 15-. Full Text Link to Item
  - Tolic, D, Fierro, R, and Ferrari, S. "Optimal self-triggering for nonlinear systems via Approximate Dynamic Programming." Proceedings of the IEEE International Conference on Control Applications (2012): 879-884. Full Text
  - Bezzo, N, Fierro, R, Swingler, A, and Ferrari, S. "A disjunctive programming approach for motion planning of mobile router networks." International Journal of Robotics and Automation 26, no. 1 (2011): 13-25. Full Text
  - Ferrari, S, Anderson, M, Fierro, R, and Lu, W. "Cooperative navigation for heterogeneous autonomous vehicles via approximate dynamic programming." Proceedings of the IEEE Conference on Decision and Control (2011): 121-127. Full Text
  - Ferrari, S, Sarangapani, J, and Lewis, FL. "Special issue on approximate dynamic programming and reinforcement learning." Journal of Control Theory and Applications 9, no. 3 (2011): 309--. Full Text
  - Foderaro, G, Raju, V, and Ferrari, S. "A model-based approximate λ-policy iteration approach to online evasive path planning and the video game Ms. Pac-Man." Journal of Control Theory and Applications 9, no. 3 (2011): 391-399. Full Text
  - Foderaro, G, Raju, V, and Ferrari, S. "A cell decomposition approach to online evasive path planning and the video game Ms. Pac-Man." IEEE International Symposium on Intelligent Control - Proceedings (2011): 191-197. Full Text
  - Lu, W, Zhang, G, Ferrari, S, Fierro, R, and Palunko, I. "An information potential approach for tracking and surveilling multiple moving targets using mobile sensor agents." Proceedings of SPIE - The International Society for Optical Engineering 8045 (2011). Full Text
  - Ferrari, S, Zhang, G, and Wettergren, TA. "Probabilistic track coverage in cooperative sensor networks." IEEE Trans Syst Man Cybern B Cybern 40, no. 6 (December 2010): 1492-1504. Full Text Link to Item
  - Bernard, B, and 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 (2010): 1243-1249. Full Text
  - Ferrari, S, Foderaro, G, and Tremblay, A. "A probability density function approach to distributed sensors' path planning." Proceedings - IEEE International Conference on Robotics and Automation (2010): 432-439. Full Text
  - Ferrari, S, and Daugherty, G. "Q-learning approach to automated Unmanned Air Vehicle (UAV) demining." Proceedings of SPIE - The International Society for Optical Engineering 7692 (2010). Full Text
  - Ferrari, S, and Foderaro, G. "A potential field approach to finding minimum-exposure paths in wireless sensor networks." Proceedings - IEEE International Conference on Robotics and Automation (2010): 335-341. Full Text
  - Foderaro, G, Henriquez, C, and Ferrari, S. "Indirect training of a spiking neural network for flight control via spike-timing-dependent synaptic plasticity." Proceedings of the IEEE Conference on Decision and Control (2010): 911-917. Full Text
  - Foderaro, G, and Ferrari, S. "Necessary conditions for optimality for a distributed optimal control problem." Proceedings of the IEEE Conference on Decision and Control (2010): 4831-4838. Full Text
  - Lu, W, Zhang, G, and Ferrari, S. "A randomized hybrid system approach to coordinated robotic sensor planning." Proceedings of the IEEE Conference on Decision and Control (2010): 3857-3864. Full Text
  - Swingler, A, and 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 (2010): 6329-6336. Full Text
  - Cai, C, and Ferrari, S. "Information-driven sensor path planning by approximate cell decomposition." IEEE Trans Syst Man Cybern B Cybern 39, no. 3 (June 2009): 672-689. Full Text Link to Item
  - Ferrari, S, and Cai, C. "Information-driven search strategies in the board game of CLUE." IEEE Trans Syst Man Cybern B Cybern 39, no. 3 (June 2009): 607-625. Full Text Link to Item
  - Ferrari, S. "Multiobjective algebraic synthesis of neural control systems by implicit model following." IEEE Trans Neural Netw 20, no. 3 (March 2009): 406-419. Full Text Link to Item
  - Baumgartner, KAC, Ferrari, S, and Rao, AV. "Optimal control of an underwater sensor network for cooperative target tracking." IEEE Journal of Oceanic Engineering 34, no. 4 (2009): 678-697. Full Text
  - Baumgartner, KAC, Ferrari, S, and Wettergren, TA. "Robust deployment of dynamic sensor networks for cooperative track detection." IEEE Sensors Journal 9, no. 9 (2009): 1029-1048. Full Text
  - Ferrari, S, Fierro, R, Perteet, B, Cai, C, and Baumgartner, K. "A geometric optimization approach to detecting and intercepting dynamic targets using a mobile sensor network." SIAM Journal on Control and Optimization 48, no. 1 (2009): 292-320. Full Text
  - Ferrari, S, Fierro, R, and 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 (2009): 1080-1087. Full Text
  - Muro, GD, and Ferrari, S. "A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments." Proceedings of the International Joint Conference on Neural Networks (2009): 685-689. Full Text
  - Zhang, G, Ferrari, S, and Qian, M. "An information roadmap method for robotic sensor path planning." Journal of Intelligent and Robotic Systems: Theory and Applications 56, no. 1-2 (2009): 69-98. Full Text
  - Zhang, G, and Ferrari, S. "An adaptive artificial potential function approach for geometric sensing." Proceedings of the IEEE Conference on Decision and Control (2009): 7903-7910. Full Text
  - Ferrari, S, Steck, JE, and Chandramohan, R. "Adaptive feedback control by constrained approximate dynamic programming." IEEE Trans Syst Man Cybern B Cybern 38, no. 4 (August 2008): 982-987. Full Text Link to Item
  - Ferrari, S, and Jensenius, M. "A constrained optimization approach to preserving prior knowledge during incremental training." IEEE Trans Neural Netw 19, no. 6 (June 2008): 996-1009. Full Text Link to Item
  - Baumgartner, K, Ferrari, S, and Palermo, G. "Constructing Bayesian networks for criminal profiling from limited data." Knowledge-Based Systems 21, no. 7 (2008): 563-572. Full Text
  - Baumgartner, K, and Ferrari, S. "A geometric transversal approach to analyzing track coverage in sensor networks." IEEE Transactions on Computers 57, no. 8 (2008): 1113-1128. Full Text
  - Cai, C, and Ferrari, S. "A Q-learning approach to developing an automated neural computer player for the board game of CLUE®." Proceedings of the International Joint Conference on Neural Networks (2008): 2346-2352. Full Text
  - Ferrari, S, Baumgartner, KC, Palermo, GB, Bruzzone, R, and Strano, M. "Network models of criminal behavior." IEEE Control Systems Magazine 28, no. 4 (2008): 65-77. Full Text
  - Ferrari, S, Fierro, R, Perteet, B, Cai, C, and Baumgartner, KC. "A Multi-Objective Optimization Approach to Detecting and Intercepting Dynamic Targets Using Mobile Sensors (Submitted)." SIAM Journal on Control and Optimization (2008). (Academic Article)
  - Ferrari, S, Mehta, B, Muro, GD, VanDongen, AMJ, and Henriquez, C. "Biologically realizable reward-modulated hebbian training for spiking neural networks." Proceedings of the International Joint Conference on Neural Networks (2008): 1780-1786. Full Text
  - Fierro, R, Ferrari, S, and Cai, C. "An information-driven framework for motion planning in robotic sensor networks: Complexity and experiments." Proceedings of the IEEE Conference on Decision and Control (2008): 483-489. Full Text
  - Muro, GD, and Ferrari, S. "A constrained-optimization approach to training neural networks for smooth function approximation and system identification." Proceedings of the International Joint Conference on Neural Networks (2008): 2353-2359. Full Text
  - Zhang, G, Ferrari, S, and Qian, M. "Information Roadmap Method for Robotic Sensor Path Planning (Submitted)." Journal of Intelligent and Robotic Systems (2008). (Academic Article)
  - Baumgartner, K, and Ferrari, S. "Optimal placement of a moving sensor network for track coverage." Proceedings of the American Control Conference (2007): 4040-4046. Full Text
  - Cai, C, Ferrari, S, and Qian, M. "Bayesian network modeling of acoustic sensor measurements." Proceedings of IEEE Sensors (2007): 345-348. Full Text
  - Cai, C, and Ferrari, S. "Comparison of information-theoretic objective functions for decision support in sensor systems." Proceedings of the American Control Conference (2007): 3559-3564. Full Text
  - Chandramohan, R, Steck, JE, Rokhsaz, K, and Ferrari, S. "Adaptive critic flight control for a general aviation aircraft: Simulations for the beech bonanza fly-by-wire test bed." Collection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference 1 (2007): 840-855.
  - Ferrari, S, Cai, C, Fierro, R, and Perteet, B. "A geometric optimization approach to detecting and intercepting dynamic targets." Proceedings of the American Control Conference (2007): 5316-5321. Full Text
  - Cai, C, and 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 2006 (2006): 4350-4355.
  - Ferrari, S, and Vaghi, A. "Demining sensor modeling and feature-level fusion by bayesian networks." IEEE Sensors Journal 6, no. 2 (2006): 471-483. Full Text
  - Ferrari, S. "Track coverage in sensor networks." Proceedings of the American Control Conference 2006 (2006): 2053-2059.
  - Baumgartner, KC, Ferrari, S, and 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 2005 (2005): 2702-2709. Full Text
  - Ferrari, S, and Jensenius, M. "Robust and reconfigurable flight control by neural networks." Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration 2 (2005): 1161-1166.
  - Ferrari, S, and Stengel, RF. "Smooth function approximation using neural networks." IEEE Trans Neural Netw 16, no. 1 (January 2005): 24-38. Full Text Link to Item
  - Qian, M, and Ferrari, S. "Probabilistic deployment for multiple sensor systems." Proceedings of SPIE - The International Society for Optical Engineering 5765, no. PART 1 (2005): 85-96. Full Text
  - Ferrari, S, and Stengel, RF. "Online adaptive critic flight control." Journal of Guidance, Control, and Dynamics 27, no. 5 (2004): 777-786.
  - Ferrari, S, and Stengel, RF. "Classical/Neural Synthesis of Nonlinear Control Systems." Journal of Guidance, Control, and Dynamics 25, no. 3 (May 2002): 442-448. Full Text
  - Ferrari, S, and Stengel, RF. "Classical/neural synthesis of nonlinear control systems." Journal of Guidance, Control, and Dynamics 25, no. 3 (2002): 442-448.
  - Ferrari, S, and Stengel, RF. "An adaptive critic global controller." Proceedings of the American Control Conference 4 (2002): 2665-2670. Full Text
  - Ferrari, S, and Stengel, RF. "Algebraic training of a neural network." Proceedings of the American Control Conference 2 (2001): 1605-1610.
  - Crispin, Y, and Ferrari, S. "Adaptive control of chaos induced capsizing of a ship." Intelligent Engineering Systems Through Artificial Neural Networks 5 (1995): 569-574.

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Education, Training, & Certifications

Duke Appointment History

In the News

Awards & Honors

Selected Grants

Selected Publications

Book Sections

Conference Papers

Journal Articles