Brian J. d'Auriol, Ph.D.

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Brian J. d'Auriol, "A Finite State Machine Model to Support the Visualization of Complex Dynamic Systems", Proceedings of The 2006 International Conference on Modeling, Simulation and Visualization Methods (MSV'06), June 26-29, 2006, Las Vegas, NV, USA, pp. 304-310.

Linear and non-linear controllable systems are commonly found in many engineering problems and are examples of models that involve complex high-dimensional spatially-related data sets. Such systems range in size and complexity from small-scale systems of a few state variables to large-scale systems comprising many state variables that evolve in complex ways. Particular evolution trajectories and regionalized evolutionary behavior of such complex systems are often non-intuitive and may reflect bifurcations in the system. A state space discretization approach leading to a novel structure termed Orthogonal Organized Finite State Machines (OOFSM) is proposed as a modeling technique to support visualizations of the properties of these types of complex systems.

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Last Updated: July 28, 2007