2014
DOI: 10.1177/0959651814559759
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Estimation and predictive control of nonlinear diffusion processes with application to drying of coatings

Abstract: This article deals with the estimation and control of a class of distributed parameter processes dominated by nonlinear diffusion. The major challenges in control of such systems lie in the nonlinear infinite-dimensional nature of the systems and the lack of direct sensing for relevant system states. In the proposed scheme, the proper orthogonal decomposition-Galerkin method is adopted to derive a reduced-order model in terms of temporal coefficients from the original system described by nonlinear partial diff… Show more

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Cited by 2 publications
(1 citation statement)
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“…Therefore, the present method is unable to perform well, especially in those systems that are strictly non-linear, or in those systems that need higher terms of the Taylor series expansion for the linearization of process and measurement equations. To overcome these problems, another method known as the unscented Kalman filter (UKF) has been proposed for fault detection of the non-linear systems (Cao and Ayalew, 2015; Liu H et al, 2014; Lu et al, 2014; Masoumnezhad et al, 2015). In this method, a set of sample points known as sigma points are used for the mean and the covariance estimation.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the present method is unable to perform well, especially in those systems that are strictly non-linear, or in those systems that need higher terms of the Taylor series expansion for the linearization of process and measurement equations. To overcome these problems, another method known as the unscented Kalman filter (UKF) has been proposed for fault detection of the non-linear systems (Cao and Ayalew, 2015; Liu H et al, 2014; Lu et al, 2014; Masoumnezhad et al, 2015). In this method, a set of sample points known as sigma points are used for the mean and the covariance estimation.…”
Section: Introductionmentioning
confidence: 99%