Recursive estimation of time delay in sampled systems

Ferretti, Gianni; Maffezzoni, C.; Scattolini, Riccardo

doi:10.1016/0005-1098(91)90056-8

Cited by 69 publications

(23 citation statements)

References 10 publications

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“…(1) The computational burden of the RLS algorithm increases with the square of the number of estimated parameters [11], [46], [47]. (2) The persistent excitation condition (a condition for parameter convergence) is more difficult to satisfy for overparameterised models [48], [49].…”

Section: General Comments On the Methods Of Overparameterisationmentioning

confidence: 99%

Identification of a time-delayed process model using an overparameterisation method

Roe¹,

Gao²,

O’Dwyer³

2007

China-Ireland International Conference on Information and Communications Technologies (CIICT 2007)

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This paper briefly reviews the main overparameterisation methods for the Single-Input, Single Output (SISO) and Multi-Input, Multi-Output (MIMO) model parameter (and time delay) estimation problem. Subsequently, two algorithms, and their modifications, are discussed, and their performances are assessed in simulation. Results indicate that both the algorithms can suitably identify the model parameters, including the time delay. The third author has taught the method successfully to students taking advanced level control courses at DIT for a number of years; these experiences will be briefly reported. The paper also discusses the advantages and disadvantages of the overparameterisation approach.

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Section: General Comments On the Methods Of Overparameterisationmentioning

confidence: 99%

Identification of a time-delayed process model using an overparameterisation method

Roe¹,

Gao²,

O’Dwyer³

2007

China-Ireland International Conference on Information and Communications Technologies (CIICT 2007)

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“…the steady-state conditions around which the leak location experiment will be carried out is computed 2. the short pipes are eliminated, since they do not contribute significantly to head losses, nor to the dynamics 3. each long pipe is split into N connected single-segment pipes, so that equations (1) and (2) Moreover, the segment number rounding approximation introduced above can be quite crude when obtaining LTI models for estimation purpose, whose order must be kept limited by selecting a sufficiently large segment length ∆x. To overcome this problem, following concept borrowed from [5], fractional delays can be introduced in the single-segment pipe model…”

Section: Network Modellingmentioning

confidence: 99%

Leak location in water distribution networks based on dynamic tests and parametric identification

Casella

Bascetta

Maffezzoni

et al. 2003

2003 European Control Conference (ECC)

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The paper deals with the problem of locating leaks in water distribution networks with many nodes and branches. The pressure transients measured in a few selected nodes, in response to pressure variations applied to one node, are analyzed by a detection and isolation algorithm, based on parametric estimation of faulty network models. The algorithm is tested by simulation in a realistic case, giving promising results.

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“…Identification of such delays along with the parameters of the continuous models is definitely a challenging issue. Among the existing solutions, off-line estimation of input delay based on the gradient search can be applied (Ferretti et al, 1991;Zhao and Sagara, 1991). A dedicated three-stage procedure for off-line identification of delay can be used in practical implementations (Kozłowski and Kowalczuk, 2009).…”

Section: Introductionmentioning

confidence: 99%

On-line parameter and delay estimation of continuous-time dynamic systems

Kozłowski

Kowalczuk

2015

International Journal of Applied Mathematics and Computer Science

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The problem of on-line identification of non-stationary delay systems is considered. The dynamics of supervised industrial processes are usually modeled by ordinary differential equations. Discrete-time mechanizations of continuous-time process models are implemented with the use of dedicated finite-horizon integrating filters. Least-squares and instrumental variable procedures mechanized in recursive forms are applied for simultaneous identification of input delay and spectral parameters of the system models. The performance of the proposed estimation algorithms is verified in an illustrative numerical simulation study.

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Recursive estimation of time delay in sampled systems

Cited by 69 publications

References 10 publications

Identification of a time-delayed process model using an overparameterisation method

Identification of a time-delayed process model using an overparameterisation method

Leak location in water distribution networks based on dynamic tests and parametric identification

On-line parameter and delay estimation of continuous-time dynamic systems

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