Depending on existing control strategies and availability of sensor data, learning can often be performed offline, on historical data. In other cases, on-site deployment of a PPaC appliance is required, parallel to the existing controller, for generating an optimized control strategy. micropsi industries PPaC control strategies are implemented as feed-forward neural networks and can be deployed on various industrial control platforms.
Often, closed-loop optimized control is only the last step in a longer engagement with micropsi industries. Earlier steps include methods for pattern mining in multi-dimensional time series data, advanced reporting based on these patterns, and prediction of individual quality/yield/cost-relevant parameters from historical data.