检索结果-内蒙古大学图书馆

NOISE TOLERANT identification OF CONTINUOUS-TIME SYSTEMS WITH UNKNOWN CONSTANT INPUT DISTURBANCE USING ILC METHOD

IFAC Proceedings Volumes 2006年第1期39卷 855-860页

作者： Tae-Hyoung Kim Xiaoguang Zheng Toshiharu Sugie Department of Systems Science Graduate School of Informatics Kyoto University Uji Kyoto 611-0011 Japan

This paper considers the problem of noise tolerant identification of a class of continuous-time systems with unknown constant-input disturbance. To this aim, we first propose an extended formulation of identification method using iterative learning control (ILC) scheme based on sampled I/O data in the presence of measurement noise. The proposed ILC method has distinctive features as follows. Its learning law works in the prescribed finite dimensional parameter space and employs I/O data of all past trials efficiently. Also the time-derivative of tracking error is not required. Then, it is presented how the parameter estimation can be achieved by the proposed ILC method and how robust it is against measurement noise through numerical examples.

关键词： Continuous-time systems System identification identification algorithm Learning control Measurement noise

来源：评论

学校读者我要写书评

暂无评论

identification of Boundary Parameter for a Class of Stochastic Infinite Domensional Systems

引用

IFAC Proceedings Volumes 1987年第5期20卷 291-296页

作者： S.I. Aihara Y. Sunahara M. Ishikawa Faculty of Polytechnic Sciences Kyoto Institute of Technology Matsugasaki Sakyo-ku Kyoto 606 Japan

identification of boundary parameter process determined by a certain nonlinear differential equation is considered. Motivated by systems of percolation and electropaint processes, the considered system is assumed to be governed by the Cauchy-Kowaleska type equation with stochastic boundary inputs and certain nonlinearity on the boundary condition. The necessary condition for the optimal maximum-likelihood estimate under noisy partial observations is derived with showing the practical numerical algorithm.

关键词： Nonlinear boundary condition white noise maximum likelihood estimate identification algorithm

来源：评论

学校读者我要写书评

暂无评论

A DESCRIPTION OF A SET OF HYPOTHESES FOR SYSTEM-identification PROBLEM

引用

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS 1989年第4期15卷 301-319页

作者： SIEROCKI, I Institute of Technical Cybernetics Technical University of Wroclaw Wroclaw Poland

This paper concerns the system identification process which is a specific form of the hypothetico-deductive process. More specifically, this paper deals with the inductive inference, i.e., with the process of generating a set of hypotheses Σ(E) that explain a given finite set of input-output experiments performed on a finite sequential system being identified. It is shown that [formula omitted] if and only if there exists a homomorphism of a basic hypothesis explaining E, into S. Next, a set of hypotheses Σ1(E). defined as follows: [formula omitted] if E is structure-complete w.r.t. S, is considered. Then it is proved that [formula omitted] if and only if there exists a full homomorphism of a basic hypothesis onto S. Some important methodological consequences of obtained results are derived. Finally, relationship linking the properties of a system identification algorithm is investigated. © 1989, Taylor & Francis Group, LLC. All rights reserved.

关键词： congruence full homomorphism homomorphism hypothesis identification algorithm Inductive inference system identification

来源：评论

学校读者我要写书评

暂无评论

An inverse problem for nonlocal reaction-diffusion equations with time-delay

引用

APPLICABLE ANALYSIS 2024年第16期103卷 3067-3085页

作者： Yang, Lin Xu, Dinghua Shanghai Univ Finance & Econ Sch Math Shanghai Peoples R China Zhejiang Sci Tech Univ Sch Sci Hangzhou Peoples R China

The reaction-diffusion equations have been studied in various aspects of nature, such as heat transfer and biological dynamic modelling. In this paper, we study a nonlocal reaction-diffusion model with time delay associated with the density and diffusion behaviour of biological populations. Based on our previous conclusions and numerical strategy of the direct problem, we continue to study the inverse problem about the diffusion coefficient as well as the parameters in the birth function, and also perform numerical simulations with error analysis. In addition, we further generalize the constant diffusion coefficient to the position-dependent diffusion rate, which is intended to improve the generalizability to multiple organisms diffusion in nature.

关键词： Reaction-Diffusion equations inverse problem diffusion rate identification algorithm

来源：评论

学校读者我要写书评

暂无评论

identification of Time-Varying Decoherence Rates for Open Quantum Systemsidentification of Time-Varying Decoherence Rates for Open Quantum Systems

IEEE TRANSACTIONS ON QUANTUM ENGINEERING

引用

IEEE TRANSACTIONS ON QUANTUM ENGINEERING 2021年 2卷

作者： Xiao, Shuixin Xue, Shibei Dong, Daoyi Zhang, Jun Shanghai Jiao Tong Univ UMich SJTU Joint Inst Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Minist Educ Key Lab Syst Control & Informat Proc Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Univ New South Wales Sch Engn & Informat Technol Canberra ACT 2600 Australia

Parameter identification of quantum systems is a fundamental task in developing practical quantum technology. In this article, we study the identification of time-varying decoherence rates for open quantum systems. Given the measurement data of local observables, this can be formulated as an optimization problem. We expand the unknown decoherence rates into Fourier series and take the expansion coefficients as optimization variables. We then convert it into a minimax problem and apply a sequential linear programming technique to solve it. Numerical study on a two-qubit quantum system with a time-varying decoherence rate demonstrates the effectiveness of our algorithm.

关键词： identification algorithm minimax problem open quantum system sequential linear programming

来源：评论

学校读者我要写书评

暂无评论

THE identification OF A CLASS OF NONLINEAR SYSTEMS USING A CORRELATION ANALYSIS APPROACH

引用

IFAC Proceedings Volumes 2005年第1期38卷 208-212页

作者： Z Q Lang M Futterer S A Billings Department of Automatic Control and Systems Engineering The University of Sheffield Mappin Street Sheffield S1 3JD UK

In this paper, a new correlation analysis based algorithm is proposed for the identification of a class of nonlinear systems which can be described by the NARX (Nonlinear AutoRegressive with eXogeneous input) model with input nonlinearities. Without any assumptions about the structure of an approximating function for the system nonlineariy, the algorithm recovers the functional values of the nonlinearity over a discrete point set associated with the levels of the applied input and estimates the model parameters from the system input output data. An optimal approximating polynomial can then be determined from the nonlinear functional values to produce an optimal estimate for the system nonlinearity. Simulation studies are included to demonstrate the effectiveness of the new method.

关键词： identification algorithm Nonlinear Models Nonparametric identification

来源：评论

学校读者我要写书评

暂无评论

A New Convergent Approximation of the Optimal Recursive Parameter Estimator: Averaged Asymptotic Dynamic Analysis

引用

IFAC Proceedings Volumes 2011年第1期44卷 3177-3185页

作者： Donald M. Wiberg University of California Santa Cruz Santa Cruz CA 95064 USA (Tel: 831-459-5560)

Abstract A key feature of a new recursive parameter estimator is its fast convergence. Here averaging theory supports this claim of fast convergence for system parameters, which heretofore has been supported only by example and by analogy with optimal nonlinear filtering. Averaging theory is also used to investigate possible computational shortcuts. Finally, it is proven that the likelihood function has a unique maximum for stable, observable, single output systems in state space form when the parameters are asymptotically identifiable and true values are in the model set. Then the new parameter estimator must converge globally with probabiltity one to true parameter values when the trajectories of the parameter estimates remain in a certain bounded set.

关键词： parameter estimation system identification recursive estimation asymptotic analysis identification algorithm

来源：评论

学校读者我要写书评

暂无评论

Hidden Vector Encryption in prime order fields

引用

IFAC Proceedings Volumes 2010年第22期43卷 14-21页

作者： Tudor Bogdan Intrasoft Intl. Bucharest Romania

In this paper two new posibilities for implementing HVE in prime order fields are presented. These are focused on hiding the identity from the decryption entity in predicate encryption. The first advantage is that the decryption key and ciphertext are flattered. Another advantage is that these require implementation of elliptic curves over prime order field which improve the computation speed over composite ones. The main application of these new algorithms is in the automatic mail distribution field.

关键词： communication systems software engineering data processing identification algorithm information analysis

来源：评论

学校读者我要写书评

暂无评论

Parametric identification of a Linear Time Invariant Model for a Subglottal System ⁎

引用

IFAC-PapersOnLine 2021年第7期54卷 577-582页

作者： Javier G. Fontanet Juan I. Yuz Matías Zañartu Department of Electronic Engineering Universidad Técnica Federico Santa María Valparaíso 2390123 Chile Department of Automatic Engineering Universidad de Oriente Santiago de Cuba 90500 Cuba

Models of the human body are key in bio-engineering and medical applications. This study presents the identification, in time and frequency domains, of linear time invariant models of the human subglottal system, for the clinical assessment of vocal function. For time domain identification, the input-output data corresponds to the glottal volume velocity and the acceleration registered by a sensor on the neck skin of the patient. For frequency domain identification, the frequency response of the subglottal tract module is used. Maximum likelihood and prediction error methods are applied. Additionally, the Akaike and Bayes Information Criteria are used to select the models order.

关键词： Maximum Likelihood estimator prediction error methods identification algorithm parameter estimation frequency response

来源：评论

学校读者我要写书评

暂无评论

Aircraft parameter estimation by using the optimal input design and linear matrix inequalities

引用

IFAC Proceedings Volumes 2003年第16期36卷 657-662页

作者： Carine Jauberthie Lilianne Denis-Vidal Ghislaine Joly-Blanchard University of Technology Compiègne Dpt GI BP 20 529 60205 Compiègne France fax (33)244 23 44 77 Univ. Sciences and Tech. Lille. UFR Math(M2) 59655 Villeneuve d'Ascq France fax (33)320 43 69 93 University of Technology Compiègne Dpt GI DP 20 529 60205 Compiègne France fax (33)344 23 44 77

System identification based on physical laws often involves parameter estimation. Even if parameters are theoretically identifiable, they may be poorly estimable for a given experiment. Thus a significant increase in accuracy of the parameter estimation may be obtained by a suitable choice of experimental conditions. The original idea of this paper is the combination of a dynamical programming method with a gradient algorithm in the solution of the optimal design. After getting an optimal input, the parameter estimation is performed by minimizing a weighted least square criterion. Weights are either based on the known measurement noise or given by the solution of a linear matrix inequality problem.

关键词： Non-linear systems Control systems Input design Parameter estimation identification algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：