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文章编号: 1672-6987(2025)04-0001-11DOI: 10.16351/j.1672-6987.2025.04.001
丁锋1,2, 栾小丽1, 徐玲3, 周怡红4, 刘喜梅2(1.江南大学 物联网工程学院, 江苏 无锡 214122;2.青岛科技大学 自动化与电子工程学院, 山东 青岛 266061;3.常州大学 微电子与控制工程学院, 江苏 常州 213159;4.苏州科技大学 电子与信息工程学院, 江苏 苏州 215009)
摘要: 针对子系统间既存在参数向量耦合,又存在信息向量耦合的多变量系统,利用耦合辨识概念,研究和提出了部分耦合随机梯度参数辨识方法与部分耦合递阶最小二乘参数辨识方法。这些递推参数辨识方法可以推广到其他有色噪声干扰下的线性和非线性多变量随机系统中。
关键词: 参数估计; 递推辨识; 多新息辨识; 递阶辨识; 耦合辨识; 最小二乘; 多变量系统
中图分类号: TP 273 文献标志码: A
引用格式: 丁锋, 栾小丽, 徐玲, 等. 耦合辨识(4): 部分耦合随机梯度与部分耦合递阶最小二乘参数辨识[J]. 青岛科技大学学报(自然科学版), 2025, 46(4): 1-11.
DING Feng, LUAN Xiaoli, XU Ling, et al. Coupling identification. Part D:Partially-coupled stochastic gradient and partially-coupled hierarchical least squares parameter identification[J]. Journal of Qingdao University of Science and Technology(Natural Science Edition), 2025, 46(4): -.
Coupling Identification. Part D:Partially-Coupled Stochastic Gradient and Partially-Coupled Hierarchical Least Squares Parameter Identification
DING Feng1,2, LUAN Xiaoli1, XU Ling3, ZHOU Yihong4, LIU Ximei2(1.School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;2.College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China;3.School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213159, China;4.School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China)
Abstract: For multivariable systems with both parameter vector coupling and information vector coupling, this paper investigates and proposes partially-coupled stochastic gradient parameter identification methods and partially-coupled hierarchical least squares parameter identification mthods. These recursive parameter identification methods can be extended to other linear and nonlinear multivariable stochastic systems under colored noise disturbances.
Keywords: parameter estimation; recursive identification; multi-innovation identification; hierarchical identification; coupling identification; least squares; multivariable system
收稿日期: 2025-06-02
基金项目: 国家自然科学基金项目(62273167).
作者简介: 丁锋(1963—), 男, 博士, “泰山学者”特聘教授, 博士生导师.