Journal ArticleDOI
Survey of applications of identification in chemical and physical processes
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In this article, a survey of the application of system identification techniques to chemical, metallurgical, paper and pulp, cement and glass industries is presented, and the main conclusion is that interactive programs are very efficient for handling all the phases of model building due to its iterative nature.About:
This article is published in Automatica.The article was published on 1975-01-01. It has received 70 citations till now. The article focuses on the topics: System identification.read more
Citations
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Journal ArticleDOI
Water quality modeling: A review of the analysis of uncertainty
TL;DR: A review of the role of uncertainty in the identification of mathematical models of water quality and in the application of these models to problems of prediction can be found in this paper, where four problem areas are examined in detail: uncertainty about model structure, uncertainty in estimated model parameter values, the propagation of prediction errors, and the design of experiments in order to reduce the critical uncertainties associated with a model.
Journal ArticleDOI
Determination of parameter identifiability in nonlinear biophysical models: A Bayesian approach.
TL;DR: In this paper, the authors investigate the underlying causes of parameter non-identifiability and discuss straightforward methods for determining when parameters of simple models can be inferred accurately, for models of even modest complexity, and present a method based in Bayesian inference that can be used to establish the reliability of parameter estimates.
Journal ArticleDOI
Some recent applications of distributed parameter systems theory-A survey
TL;DR: A survey of some recent applications of distributed parameter systems theory is presented, and some new, promising areas of application are discussed along with suggestions for future research emphasis.
Journal ArticleDOI
Novel identification method from step response
TL;DR: In this paper, the authors proposed a single step approach to estimate process model parameters from both open loop and closed loop step responses, which facilitates direct use of industrial data without preprocessing.
Journal ArticleDOI
Optimal nonuniform sampling interval and test-input design for identification of physiological systems from very limited data
F. Mori,Joseph J. DiStefano +1 more
TL;DR: In this paper, the authors proposed a sampling schedule optimization algorithm for estimating the parameters of a model of the dynamics of thyroid hormone metabolism, which was applied to the design of a biologic experiment.
References
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Journal ArticleDOI
System identification-A survey
Karl Johan Åström,Pieter Eykhoff +1 more
TL;DR: The survey explains the least squares method and several of its variants which may solve the problem of correlated residuals, viz. repeated and generalized least squares, maximum likelihood method, instrumental variable method, tally principle.
Journal ArticleDOI
On structural identifiability
TL;DR: In this article, structural identifiability is introduced to answer questions such as: To what extent is it possible to get insight into the internal structure of a system from input-output measurements? What experiments are necessary in order to determine the internal couplings uniquely?
Journal ArticleDOI
Optimal inputs for linear system identification
TL;DR: In this paper, the authors considered the design of optimal inputs for identifying parameters in linear dynamic systems and showed that the optimal energy constrained input is an eigenfunction of a positive self-adjoint operator corresponding to its largest eigenvalue.
Journal ArticleDOI
Computer control of a paper machine: an application of linear stochastic control theory
TL;DR: An attempt to apply linear optimal control theory to computer control of an industrial process and results of actual measurements as well as results from on-line control experience are presented.
Book ChapterDOI
On the use of a linear model for the identification of feedback systems
TL;DR: In this article, a basic linear model of stationary stochastic processes is proposed for the analysis of linear feedback systems, which suggests a simple computational procedure which gives estimates of the response characteristics of the system and the spectra of the noise source.