On identification of nonlinear dynamic systems using three-block cascade models

Abstract

The paper deals with the parameter identification of nonlinear dynamic systems using three-block cascade models with static input and dynamic output nonlinearities. Multiple application of a decomposition technique provides an output equation for the corresponding nonlinear model description that is linear in parameters but includes more internal variables. An iterative technique allows estimation of all the model parameters and all the immeasurable internal variables based on measured input/output data. An illustrative example is included.