Abstract
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. Large-scale systems comprise 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 visualization model that includes multiple imagery and animation elements that facilitate heightened understanding of such a system’s evolutionary aspects is proposed. The visualizations are based on information represented in a novel structure termed Orthogonal Organized Finite State Machines (OOFSM); a brief review of an OOFSM is included. The goals of the visualization model are to support the analysis of the complex dynamic system by analysts seeking to understand the operation and behavior of the system and at the same time to support the decision making process inherent in controlling the physical system. elsewhere.