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PSpice User Guide Monte Carlo and sensitivity (worst-case) analyses October 2019 591 Product Version 17.4-2019 © 1999-2019 All Rights Reserved. In a given range, reduce the measurement to a single value by one of these five collating functions: You can define worst as the highest (HI) or lowest (LO) possible collating function relative to the nominal run. You can use analog behavioral models to measure waveform characteristics other than those detected by the available collating functions, such as rise time or slope. You can also use analog behavioral models to incorporate several voltages and currents into one output variable to which a collating function may be applied. See Chapter 6, "Analog behavioral modeling," for more information. Procedure To establish the initial value of the collating function, worst-case analysis begins with a nominal run using all model parameters at their nominal values. Next, multiple sensitivity analyses determine the individual effect of each model parameter on the collating function. This is accomplished by varying model parameters, one at a time, in consecutive simulations. The direction (better or worse) in which the collating function changes with a small increase in each model parameter is recorded. Finally, for the worst-case run, each parameter value is taken as far from its nominal as allowed by its tolerance, in the direction which MAX Maximum output variable value MIN Minimum output variable value YMAX Output variable value at the point where it differs the most with the nominal run RISE_EDGE (value) Sweep value where the output variable value crosses above a given threshold value FALL_EDGE (value) Sweep value where the output variable value crosses below a given threshold value