一个受约束的最大混合物总流算法家族,用于自适应过
Ji Zhao1, Biao Xie1, Qiang Li1
1School of Information and Control Engineering, Southwest University of Science and Technology, Mianyang, Sichuan 621010, PR China.
ISA transactions
|October 8, 2025
概括
新的受约束最大混合物总流 (CMMTC) 算法改善了自适应过,特别是在噪音条件下. 与固定带宽CMTC算法相比,它提高了灵活性和融合速度.
科学领域:
- 信号处理 信号处理
- 适应性过是一种自适应性过.
背景情况:
- 约束最大总流量 (CMTC) 是一个强大的自适应过算法.
- 在杂系统中,CMTC性能随着固定的内核带宽而下降.
研究的目的:
- 引入受约束最大混合物总流 (CMMTC) 算法,以提高灵活性.
- 在有噪声信号的系统中提高自适应过性能.
主要方法:
- 通过调整不同内核带宽的比例来提高杆混合电流.
- 开发具有可变混合系数的适应性CMMTC版本.
- 导出平均收条件和平均平方偏差表达式.
主要成果:
- 拟议的CMMTC算法展示了优越的过性能.
- 适应性CMMTC版本显示了增强的灵活性和融合.
- 模拟结果验证了理论推导.
结论:
- 与传统方法相比,CMMTC提供了改进的自适应过.
- 适应性CMMTC算法在杂的环境中提供更好的性能.
- 这项研究验证了适应性过器中混合物流的有效性.
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