CLOSED LOOP IDENTIFICATION MODULE

This module allows to perform identification of a plant model from data which have been acquired in closed loop.

The key idea of these methods is to find an adjustable predictor which will be tuned in order to minimize the error between the plant output (operating in closed loop) and a model of the loop made of an RST controller and this adjustable predictor.

They are classified in respect with the structure of the "controller + plant + disturbance" model on which each method is based :

1. Closed loop output error structure containing following methods:

- Closed Loop Output Error CLOE .

- Filtered Closed Loop Output Error FCLOE .

- Adaptive filtered Closed Loop Output Error AFCLOE .

2. Extended closed loop output error structure with following method:

- Extended Closed Loop Output Error XCLOE .

Model validation in closed loop

A given model can be validated in closed loop with a given controller in the following ways:

- Statistical validation

- Poles Closeness validation

- Time domain validation

For more detail see: closed loop validation .

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