Identification with blended multi-model approach in the frequency domain: an application to a servo pneumatic actuator

By means of a real world application a system identification method was investigated for nonlinear systems from input-output measurements. This approach based on an blended multiple model structure, which describes the global behaviour of the system over the whole operating range. At different operating points twenty local linear black-box models were identified in the frequency domain from a finite number of measurements of the input and output signals. A comparative study was made: of a grey-box model, which have been derived using physical laws and measurements of several process states to estimate unknown parameters.