Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
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Possibility of identifying the (explicit and implicit) invalidity in sensors' indications within the process control systems (automatic control systems for industrial processes) is considered, on the basis of statistical data on industrial processes provided by the control system; the data is represented in the form of simulation model with interval validity estimates of the parameters. In the designed model, validity identification includes verifying all the functional relations specified for the selected industrial process. The issue of implementing the suggested model is studied subject to process control systems in the energy sector.