STUDY ON CONTINIOUS-TIME SYSTEM IDENTIFICATION IN VIEW OF KNOWLEDGE OF PHYSICAL AND CHEMICAL LAWS

基于物理和化学规律知识的连续时间系统辨识研究

• 批准号: 07650498
• 负责人: WADA Kiyoshi
• 金额: $ 1.22万
• 依托单位: KYUSHU UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07650498/
• 关键词: System Identification; Identification of continuous time systems; Patameter Estimation; Sampling Intervals; Prefilters

Recently, much attention has been attracted for system identification, stimulated by develepment of robust control theory in the presence of model uncertainty. Considerable improvement of estimation accuracy is expected because processing in smaller sampling period has become possible due to the progress of the technology around microcomputer. We have studied mainly from the viewpoint of(1) effects of prefileter suce as antialias filter to system identification(2) development of the method to determine the order of a model(3) evaluation of system identification methods for robust control(4) extension to multivariate systems, and(5) development of methods for nonlinear systems.Our intention has been development of identification scheme suited well for controller design, from standpoint that the quality of the model depends on that the model has capability to trace adequately the characteristics in proper frequency range, and that prefilter is not only data processing but also ones taking a priori knowledge of the plant into the model. We showed totally in this research, that the identification schemes can be applied to large scale, complex real systems by extending them to multivariate systems and developing nonlinear systems identification, taking account of physical information of the plant.

近年来，由于存在模型不确定性的鲁棒控制理论的发展，系统辨识问题引起了人们的广泛关注。由于微型计算机技术的进步，使得在较小的采样周期内进行处理成为可能，因此估计精度有望有较大的提高。我们主要从以下几个方面研究了预滤波器作为抗混叠滤波器对系统辨识的影响：(2)模型定阶方法的发展；(3)鲁棒控制系统辨识方法的评价；(4)对多变量系统的推广；(5)非线性系统辨识方法的发展。我们的目的是发展适合于控制器设计的辨识方案。从模型的质量取决于模型是否有能力在适当的频率范围内充分跟踪特性的观点，以及预滤波不仅是数据处理，而且是将被控对象的先验知识引入模型的观点。研究表明，通过将辨识方法推广到多变量系统，并结合被控对象的物理信息，发展非线性系统辨识方法，可以应用于大规模、复杂的实际系统。

项目成果

Kiyoshi Wada: "What is the subspace identification" Journal of the Society of instrument and Control Engineers (in Japanese). Vol.36. 569-574 (1997)

Kiyoshi Wada：“什么是子空间识别”仪器与控制工程师学会杂志（日文）。

和田 清: "部分空間同定法って何?" 計測と制御. 36. 569-574 (1997)

和田清：“什么是子空间识别方法？” 36. 569-574 (1997)

T.Nakamitsu, K.wada and J.Imai: "On parameter estimates in a subspace method for SISO systems" Preprints of 11th IFAC Sympo.on System Identification. 1137-1142 (1997)

T.Nakamitsu、K.wada 和 J.Imai：“关于 SISO 系统子空间方法中的参数估计”第 11 届 IFAC Sympo.on 系统识别预印本。

T.Nakamitsu: "On parameter estimates in a subspace method for SISO systems" Preprints of 11th IFAC Sympo.on System Identification. 1137-1142 (1997)

T.Nakamitsu：“关于 SISO 系统子空间方法中的参数估计”第 11 届 IFAC Sympo.on 系统识别预印本。

J.IMAI: "A Finite-Dimensional Modeling with Explicit Error Bounds for Spectral System" Proc.IEEE Conference on Decision and Control. 400-403 (1996)

J.IMAI：“频谱系统的显式误差界限有限维建模”Proc.IEEE 决策与控制会议。