基于不同创新长度递归识别器的慢开关Hammerstein系统开关检测策略

Haichao Chen, Zhu Wang, Zhihui Liu, Qing Chang
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引用次数: 0

摘要

对于脉冲噪声环境下的慢速切换Hammerstein系统,利用多个标识符协同工作,快速准确地检测切换点,同时获得子模型的参数估计。对多创新点进行递归识别,可以提高识别结果的准确性,增加识别算法的鲁棒性。短创新的递归识别对系统环境的变化更为敏感。比较两种识别算法的识别结果,确定子系统是否发生切换,是否能够抵抗脉冲噪声的干扰。在分系统的切换过程中,对切换过程中产生的初始辨识值进行确认,以提高收敛速度,加快切换过程。最后,仿真实验证明了所提切换方案的优越性。
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Based on The Recursive Identifier of Different Innovation Lengths On-off Detection Strategy of Slow-switching Hammerstein System
For the slow-switching Hammerstein system in an impulsive noise environment, multiple identifiers are used to work together to detect the switching point quickly and accurately, and at the same time obtain the parameter estimates of the sub-model. Recursive identification of multiple innovations can improve the accuracy of the identification results and increase the robustness of the identification algorithm. Recursive identification of short innovations is more sensitive to changes in the system environment. Compare the identification results of the two identification algorithms to determine whether subsystem switching occurs and can resist the interference of impulse noise. During the switching process of the subsystem, the initial identification value generated during the switching process is confirmed to improve the convergence speed and speed up the switching process. Finally, simulation experiments prove the superiority of the proposed switching scheme.
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