I'm dealing with identifying model dynamics for human movement mistakes from each attempt (trial) to the next, so my time-series data is discrete in nature, unlike most sampled data, also depending on the variable, an input of such nature might exist(Sys ID) or not(time-series estimation). I come from a control engineering background, and I'm well aware of the importance of sampling time selection for analysis, system Identification, and control design for sampled-data systems. I'm confused about what I should select as the sampling period in either MATLAB or Python when dealing with a discrete-time system or signal for which sampling time is not defined. I'd appreciate it if someone could point to a paper/book that discusses non-sampled discrete-time system identification or time-series estimation.

In the MATLAB system identification toolbox, I can enter one as a sampling period. However, MATLAB then will assume that it is a 1 sec sampling period rather than the fact that the signal is a non-sampled discrete time.