Abstract
The paper deals with the parameter identification of nonlinear dynamic systems with input saturation and output backlash using three-block cascade models. Multiple application of a decomposition technique provides special formulas for the corresponding nonlinear model description that are linear in parameters. A least-squares-based iterative technique allows estimation of all the model parameters based on measured input/output data. Examples of three-block cascade system identification illustrate the feasibility of proposed method.
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