Pratt School of Engineering

Publications by Silvia Ferrari

Book Chapters

  1. 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., (1995), ASME Press NY,
  2. Ferrari, S., Stengel, R. F., Model-based 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

  1. K. Baumgartner and S. Ferrari, A geometric transversal approach to analyzing track coverage in sensor networks, Ieee Transactions On Computers, (2008), 1113 -- 1128,
  2. S. Ferrari and M. Jensenius, A constrained optimization approach to preserving prior knowledge during incremental training, Ieee Transactions On Neural Networks, (2008), 996 -- 1009,
  3. Ferrari S., Steck J.E. and Chandramohan R., Adaptive Feedback Control by Constrained Approximate Dynamic Programming, IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, (August 2008), 982-987,
  4. Ferrari, S., Stengel, R. F., Classical/Neural Synthesis of Nonlinear Control Systems, Journal of Guidance, Control, and Dynamics, (May-June 2002), 442-448,
  5. Ferrari, S., Stengel, R. F., On-line Adaptive Critic Flight Control, Journal of Guidance, Control, and Dynamics, (Sept-Oct 2004), 777-786,
  6. Ferrari, S., Stengel, R. F., Smooth Function Approximation by Neural Networks, IEEE Transactions on Neural Networks, (January 2005), 24-38,
  7. Ferrari, S., Vaghi, A., Demining Sensor Modeling and Feature-level Fusion by Bayesian Networks, IEEE Sensors Journal, (April 2006), 471-483,
  8. 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 12-15, 2005), 2702-2709,
  9. S. Ferrari, Track Coverage in Sensor Networks, Proc. of the 2006 American Control Conference, Minneapolis, MN, (June 2006), 2053-2059,
  10. 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), 4350-4355,
  11. 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), 4040-4046,
  12. Ferrari, S., Cai, C., Fierro, R., and Perteet, B., A Multi-Objective Optimization Approach to Detecting and Tracking Dynamic Targets in Pursuit-Evasion Games, Proc. of the 2007 American Control Conference, New York, NY, (July 2007), 5316-5321,
  13. Ferrari, S., and Jensenius M., A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training, IEEE Transactions on Neural Networks, (June 2008),
  14. Ferrari, S., Palermo, G., Bruzzone, R., Strano, M., Network Models of Criminal Behavior, IEEE Control Systems Magazine, (August 2008), 65-77,
  15. S. Ferrari and A. Vaghi, Demining sensor modeling and feature-level fusion by Bayesian networks, Ieee Sensors Journal, (2006), 471 -- 483,
  16. Ferrari, Silvia and Vaghi, Alberto, Demining sensor modeling and feature-level fusion by bayesian networks, IEEE Sensors Journal, (2006), 471 - 483, [JSEN.2006.870162], [abs]
  17. S. Ferrari and R. F. Stengel, Smooth function approximation using neural networks, Ieee Transactions On Neural Networks, (2005), 24 -- 38,
  18. Qian, Ming and Ferrari, Silvia, Probabilistic deployment for multiple sensor systems, Proceedings of SPIE - The International Society for Optical Engineering, (2005), 85 - 96, [12.601597], [abs]
  19. Baumgartner, Kelli Crews and Ferrari, Silvia and Salfati, C. Gabrielle, 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), 2702 - 2709, [CDC.2005.1582571], [abs]
  20. Ferrari, Silvia and Stengel, Robert F., Smooth function approximation using neural networks, IEEE Transactions on Neural Networks, (2005), 24 - 38, [TNN.2004.836233], [abs]
  21. Ferrari, Silvia and Jensenius, Mark, Robust and reconfigurable flight control by neural networks, Collection of Technical Papers - InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration, (2005), 1161 - 1166, [abs]
  22. Ferrari, Silvia and Stengel, Robert F., Online adaptive critic flight control, Journal of Guidance, Control, and Dynamics, (2004), 777 - 786, [abs]
  23. S. Ferrari and R. F. Stengel, Online adaptive critic flight control, Journal Of Guidance Control And Dynamics, (2004), 777 -- 786,
  24. Ferrari, Silvia and Stengel, Robert F., Classical/neural synthesis of nonlinear control systems, Journal of Guidance, Control, and Dynamics, (2002), 442 - 448, [abs]
  25. Ferrari, Silvia and Stengel, Robert F., An adaptive critic global controller, Proceedings of the American Control Conference, (2002), 2665 - 2670, [ACC.2002.1025189], [abs]
  26. Crispin, Yechiel and Ferrari, Silvia, Adaptive control of chaos induced capsizing of a ship, Intelligent Engineering Systems Through Artificial Neural Networks, (1995), 569 - 574, [abs]

Papers Accepted

  1. Baumgartner, K.C., and Ferrari S., Constructing Bayesian Networks for Criminal Profiling from Limited Data, Knowledge-Based Systems, (in press),

Papers Submitted

  1. G. Zhang, S. Ferrari and M. Qian, Information Roadmap Method for Robotic Sensor Path Planning, Journal of Intelligent and Robotic Systems, (submitted),
  2. C. Cai and S. Ferrari, Information-Driven Sensor Path Planning by Approximate Cell Decomposition, IEEE Transaction on Systems, Man, and Cybernetics - Part B, (in revision),
  3. S. Ferrari and C. Cai, Information-Drive Search Strategies in the Board Game of Clue, IEEE Transactions on Systems, Man and Cybernetics - Part B, (in revision),
  4. S. Ferrari, R. Fierro, B. Perteet, C. Cai, and K.C. Baumgartner, A Multi-Objective Optimization Approach to Detecting and Intercepting Dynamic Targets Using Mobile Sensors, SIAM Journal on Control and Optimization, (in revision),
  5. S. Ferrari, Multi-Objective Algebraic Synthesis of Neural Control Systems by Implicit Model Following, IEEE Transactions on Neural Networks, (in press),