標(biāo)題: Titlebook: Errors-in-Variables Methods in System Identification; Torsten S?derstr?m Book 2018 Springer International Publishing AG, part of Springer [打印本頁(yè)] 作者: quick-relievers 時(shí)間: 2025-3-21 16:11
書目名稱Errors-in-Variables Methods in System Identification影響因子(影響力)
書目名稱Errors-in-Variables Methods in System Identification影響因子(影響力)學(xué)科排名
書目名稱Errors-in-Variables Methods in System Identification網(wǎng)絡(luò)公開(kāi)度
書目名稱Errors-in-Variables Methods in System Identification網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Errors-in-Variables Methods in System Identification被引頻次
書目名稱Errors-in-Variables Methods in System Identification被引頻次學(xué)科排名
書目名稱Errors-in-Variables Methods in System Identification年度引用
書目名稱Errors-in-Variables Methods in System Identification年度引用學(xué)科排名
書目名稱Errors-in-Variables Methods in System Identification讀者反饋
書目名稱Errors-in-Variables Methods in System Identification讀者反饋學(xué)科排名
作者: constitute 時(shí)間: 2025-3-21 20:28
Steven H. Graham MD, PhD,Robert W Hickey MDhe system is then not identifiable. Further, it is discussed under what additional conditions identifiability prevails. The methodology provided by the factor analysis modeling and by the Frisch scheme are also described.作者: 取回 時(shí)間: 2025-3-22 02:53
M. Brock,C. Fieschi,K. Schürmanne provided. Specific identifiability results are described for the case of parametric modeling. There are also identifiability results for the special cases with either multiple experiments, or closed-loop operations.作者: 愛(ài)社交 時(shí)間: 2025-3-22 05:00 作者: 招致 時(shí)間: 2025-3-22 09:19
https://doi.org/10.1007/978-1-4614-4148-9scheme constitutes the technique for another class. Both these classes are shown to be special cases of the so-called generalized instrumental variable (GIVE) method. Many different special cases of GIVE are presented.作者: mortgage 時(shí)間: 2025-3-22 15:09 作者: mortgage 時(shí)間: 2025-3-22 18:57 作者: hauteur 時(shí)間: 2025-3-22 23:29 作者: Nebulizer 時(shí)間: 2025-3-23 01:29
The Static Case,he system is then not identifiable. Further, it is discussed under what additional conditions identifiability prevails. The methodology provided by the factor analysis modeling and by the Frisch scheme are also described.作者: libertine 時(shí)間: 2025-3-23 06:59
Identifiability Aspects,e provided. Specific identifiability results are described for the case of parametric modeling. There are also identifiability results for the special cases with either multiple experiments, or closed-loop operations.作者: Irascible 時(shí)間: 2025-3-23 13:35 作者: Sinus-Rhythm 時(shí)間: 2025-3-23 16:53 作者: judicial 時(shí)間: 2025-3-23 19:28 作者: 織布機(jī) 時(shí)間: 2025-3-23 22:50
Paul E. Teschan,Allen I. Arieffmental setup, on the measurement noise, on the noise-free input signal are discussed. It is also shown what can happen when methods based on such assumptions are applied, but the assumptions fail to hold.作者: 無(wú)政府主義者 時(shí)間: 2025-3-24 04:42 作者: 同來(lái)核對(duì) 時(shí)間: 2025-3-24 09:45 作者: Filibuster 時(shí)間: 2025-3-24 11:27 作者: CHOKE 時(shí)間: 2025-3-24 16:49
M. Brock,C. Fieschi,K. Schürmannally achieved, unless more than very general assumptions are applied. Examples where introduction of additional assumptions lead to identifiability are provided. Specific identifiability results are described for the case of parametric modeling. There are also identifiability results for the special作者: BADGE 時(shí)間: 2025-3-24 21:52
I. Prohovnik,E. Knudsen,J. Risberg. Further, models may be treated in the time domain or in the frequency domain, and their relations are given. Similarities and differences when treating single-input, single-output models vs. multivariable models are also discussed, as are different ways to include the noise properties in the model作者: LITHE 時(shí)間: 2025-3-25 00:39
https://doi.org/10.1007/978-1-4614-4148-9dify it so as to avoid the non-consistency of the parameter estimates. One class of methods for doing so are the bias-eliminating methods. The Frisch scheme constitutes the technique for another class. Both these classes are shown to be special cases of the so-called generalized instrumental variabl作者: Lumbar-Stenosis 時(shí)間: 2025-3-25 06:48
Immunohistochemistry of Brain Tissues,lyzed. It is also described how overdetermined systems of equations can be handled in alternative ways. The chapter includes also descriptions of how many of the identification methods in the book can be implemented using time-recursive estimation schemes.作者: CLASP 時(shí)間: 2025-3-25 08:32
https://doi.org/10.1007/978-94-011-1852-1eneral terms, the parameter estimates are then asymptotically Gaussian distributed. It is shown for all the main methods treated in the book, what the covariance matrix of that Gaussian distribution looks like. It thus gives a measure of the accuracy of the obtained parameter estimates. The chapter 作者: 向下 時(shí)間: 2025-3-25 15:30 作者: 拔出 時(shí)間: 2025-3-25 17:12
https://doi.org/10.1007/978-3-319-75001-9Parameter Estimation; Identification Methods; Empirical Modelling; EIV Problems; Statistical System Iden作者: metropolitan 時(shí)間: 2025-3-25 21:33
https://doi.org/10.1007/978-3-319-31784-7nts are subject to noise. First a number of examples and applications of the EIV problem are presented. Further, an outline of the book as well as several notational conventions are included. Some key concepts from system identification theory that are useful for understanding the book are summarized.作者: POWER 時(shí)間: 2025-3-26 02:26 作者: Compass 時(shí)間: 2025-3-26 06:35 作者: Senescent 時(shí)間: 2025-3-26 10:56
Introduction,nts are subject to noise. First a number of examples and applications of the EIV problem are presented. Further, an outline of the book as well as several notational conventions are included. Some key concepts from system identification theory that are useful for understanding the book are summarized.作者: Coeval 時(shí)間: 2025-3-26 13:58
The Errors-in-Variables Problem for Dynamic Systems,sence of noise on the input signal is either neglected, or compensated for in an inappropriate way, will not lead to consistent estimates. Some data sets are presented, and will be used for comparison purposes on many different methods in later chapters.作者: BUMP 時(shí)間: 2025-3-26 19:36 作者: 歡呼 時(shí)間: 2025-3-27 00:19 作者: 無(wú)瑕疵 時(shí)間: 2025-3-27 05:06 作者: 楓樹 時(shí)間: 2025-3-27 05:33 作者: Lipohypertrophy 時(shí)間: 2025-3-27 10:49
Communications and Control Engineeringhttp://image.papertrans.cn/e/image/314946.jpg作者: calumniate 時(shí)間: 2025-3-27 14:44 作者: 辭職 時(shí)間: 2025-3-27 18:39
Cerebral Cavernous Malformations (CCM)The chapter treats the method of covariance matching (CM). It is based on an optimization over higher dimension than GIVE, but results also in considerably more accurate parameter estimates. It is also described how the principle of factor analysis can be applied to dynamic systems, leading to essentially a covariance matching method.作者: 分期付款 時(shí)間: 2025-3-27 22:42
https://doi.org/10.1007/978-3-642-65814-3This chapter describes and analyzes maximum likelihood and prediction errormethods, tied to the EIV model used. Both time domain and frequency domain algorithms are treated. Various cases with different noise assumptions are included.作者: saturated-fat 時(shí)間: 2025-3-28 05:32
https://doi.org/10.1007/978-1-4615-3824-0The chapter is devoted to some specific frequency domain methods. Both nonparametric and parametric estimators are presented. Further, frequency domain variants of the Frisch scheme and other GIVE estimators are given as well.作者: Assemble 時(shí)間: 2025-3-28 09:46
James H. Fallon,Sandra E. LoughlinThe chapter treats total least squares (TLS), which in statistics corresponds to orthogonal regression. Some different extensions are discussed, including ways to show how uncertainties in different matrix elements may be related or correlated. The application of TLS to identification of dynamic systems is also treated.作者: CUR 時(shí)間: 2025-3-28 11:09 作者: 燈絲 時(shí)間: 2025-3-28 17:47 作者: 蛙鳴聲 時(shí)間: 2025-3-28 21:57 作者: 遠(yuǎn)地點(diǎn) 時(shí)間: 2025-3-29 01:02
Prediction Error and Maximum Likelihood Methods,This chapter describes and analyzes maximum likelihood and prediction errormethods, tied to the EIV model used. Both time domain and frequency domain algorithms are treated. Various cases with different noise assumptions are included.作者: 友好關(guān)系 時(shí)間: 2025-3-29 03:33
Frequency Domain Methods,The chapter is devoted to some specific frequency domain methods. Both nonparametric and parametric estimators are presented. Further, frequency domain variants of the Frisch scheme and other GIVE estimators are given as well.作者: 推崇 時(shí)間: 2025-3-29 08:38
Total Least Squares,The chapter treats total least squares (TLS), which in statistics corresponds to orthogonal regression. Some different extensions are discussed, including ways to show how uncertainties in different matrix elements may be related or correlated. The application of TLS to identification of dynamic systems is also treated.作者: patriot 時(shí)間: 2025-3-29 13:45 作者: engender 時(shí)間: 2025-3-29 18:48
Book 2018set of noisy data, which traditional approaches to solutions, such as (total) least squares, do not find...A number of identification methods for the EIV problem are presented. Each method is accompanied with a detailed analysis based on statistical theory, and the relationship between the different作者: lacrimal-gland 時(shí)間: 2025-3-29 21:22
0178-5354 s, do not find...A number of identification methods for the EIV problem are presented. Each method is accompanied with a detailed analysis based on statistical theory, and the relationship between the different978-3-030-09125-5978-3-319-75001-9Series ISSN 0178-5354 Series E-ISSN 2197-7119 作者: 小故事 時(shí)間: 2025-3-30 02:43 作者: reception 時(shí)間: 2025-3-30 06:01 作者: TEN 時(shí)間: 2025-3-30 11:24 作者: 債務(wù) 時(shí)間: 2025-3-30 14:04
The Errors-in-Variables Problem for Dynamic Systems,sence of noise on the input signal is either neglected, or compensated for in an inappropriate way, will not lead to consistent estimates. Some data sets are presented, and will be used for comparison purposes on many different methods in later chapters.作者: 吼叫 時(shí)間: 2025-3-30 16:49 作者: botany 時(shí)間: 2025-3-30 20:55 作者: NADIR 時(shí)間: 2025-3-31 01:33
