Two new types of bias-eliminated least-squares (BELS) based algorithms are proposed for consistent identiΓΏcation of linear systems with noisy input and output measurements. It is shown that estimation of the noise variances can be implemented through one-dimension over-parametrization of the system
Direct estimation of residence time from input and output data
β Scribed by Ali Soltanzadeh; Chad P. J. Bennington; Guy A. Dumont
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 444 KB
- Volume
- 89
- Category
- Article
- ISSN
- 0008-4034
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β¦ Synopsis
Abstract
Residence time is a well known and widely used concept in the process industry, and its estimation is often needed to model or optimise a process. This study will demonstrate a new method using suitable measures of input and output data. There are two distinct characteristics of this method: it is not necessary to estimate the residence time from an explicit model, and the constraints on the excitation of the input signal are not as restrictive as common methods. Β© 2011 Canadian Society for Chemical Engineering
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