Adaptive PID parameter tuning

.Automatically tunes PID parameters, .Adaptive to changing process dynamics, .Improves process control quality, .Decreases excess consumption, .Decreases delay

Uses first order process model and archived data to update model learning. Predicts time-series data and tunes PID parameters by using learning, prediction and other process variables.

Open loop process data stored in a database is needed model learning. API is needed for sending the results.

Machine manufacturers, industries with process control, textile dyeing machine manufacturers.

Licensing will be done per installation.