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

中文翻译：

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时变 Hammerstein-Wiener 系统的参数跟踪

引入了一种两阶段识别算法来跟踪时变 Hammerstein-Wiener 系统中的参数。该算法采用卡尔曼滤波算法和参数分离技术。提供了这种两阶段算法的收敛性分析。结果表明，该算法能够保证参数估计误差的有界性。四个仿真示例，包括电弧炉的实际系统应用，已被用于验证所提出方法的有效性，用于一系列模拟的时变特性。