A two-stage identification algorithm is introduced for tracking the parameters in time-varying Hammerstein-Wiener systems. The Kalman filtering and parameter separation technique are employed proposed algorithm. convergence analysis of this provided. It shown that can guarantee boundedness estimation error. Four simulation examples, including a practical system application electric arc furnace,...