IDENTIFICATION OF NONLINEAR CASCADE SYSTEMS WITH NONINVERTIBLE PIECEWISE LINEAR INPUT AND BACKLASH OUTPUT NONLINEARITIES
The paper deals with the parameter identification of cascade nonlinear dynamic systems with noninvertible piecewise linear input nonlinearities and backlash output nonlinearities. Application of the key term separation principle provides special expressions 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. Simulation studies illustrate the feasibility of proposed identification method.
Keywords: nonlinear systems, parameter estimation, least-squares, piecewise linear function, backlash