A mathematical model describes a system by a set of variables and a set of equations that establish relationships between the variables. These variables represent properties of the system such as measurable system outputs in the form of signals, timing data, counters and event occurrence. The actual model is the set of functions that describe the relations between the different variables. Our engineers analyze a system to be controlled or optimized, building a descriptive model of the system as a hypothesis of how the system could work, or try to estimate how an unforeseeable event could affect the system.

Atlas Systems engineers use this process, particularly in the areas of automotive and aeromechanical design. One such study involved the model for predicting tire wear based on the steering angle measurement and the action of the mechanism. OLAP tools were used to measure these multi-dimensional factors that create cause and effect. The demand for a better understanding of the dynamics, and the ability to produce high-fidelity mathematical (or "physical") models of vehicular systems, has reached a critical point for many companies. Atlas Systems will be at the forefront of these efforts, with experience and knowledge as our tools.