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System identification

About: System identification is a research topic. Over the lifetime, 21291 publications have been published within this topic receiving 439142 citations.


Papers
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Jakob Roll1
01 Jan 2003
TL;DR: In this article, two different approaches: (nonparametric) local modelling, and i.i.d. (i.e., nonlinear) local modeling, are considered.
Abstract: Identification of nonlinear systems is a multifaceted research area, with many diverse approaches and methods. This thesis considers two different approaches: (nonparametric) local modelling, and i ...

123 citations

Journal ArticleDOI
TL;DR: In this article, an artificial neural network (ANN) was used to predict the performance of a thermosiphon solar domestic water heating system, which is measured in terms of the useful energy extracted and the stored water temperature rise.

123 citations

Book
01 Aug 1991
TL;DR: The relationship between discrete time and continuous time linear estimation and identification of continuous-time systems: a general framework is presented.
Abstract: 1 Continuous-time models and approaches.- 2 Discrete-time modeling and identification of continuous-time systems: a general framework.- 3 The relationship between discrete time and continuous time linear estimation.- 4 Transformation of discrete-time models.- 5 Methods using Walsh functions.- 6 Use of the block-pulse operator.- 7 Recursive block pulse function method.- 8 Continuous model identification via orthogonal polynomials.- 9 Use of numerical integration methods.- 10 Application of digital filtering techniques.- 11 The Poisson moment functional technique - Some New Results.- 12 Identification, estimation and control of continuous-time systems described by delta operator models.- 13 Identification of multivariable continuous- time systems.- 14 Use of pseudo-observability indices in identification of continuous-time multivariable models.- 15 SVD-based subspace methods for multivariable continuous-time systems identification.- 16 Identification of continuous-time systems using multiharmonic test signals.- 17 Adaptive model approaches.- 18 Nonparametric approaches to identification.- 19 From fine asymptotics to model selection.- 20 Real time issues in continuous system identification.

123 citations

Journal ArticleDOI
TL;DR: This paper introduces a rescaling transformation with an appropriate dilation that turns out to be very effective in dealing with uncertainty of the system and develops a robust output feedback control scheme for uncertain nonlinear systems in the p-normal form, under a homogeneous growth condition.
Abstract: This paper investigates the problem of robust output feedback stabilization for a family of uncertain nonlinear systems with uncontrollable/unobservable linearization. To achieve global robust stabilization via smooth output feedback, we introduce a rescaling transformation with an appropriate dilation, which turns out to be very effective in dealing with uncertainty of the system. Using this rescaling technique combined with the nonseparation principle based design method, we develop a robust output feedback control scheme for uncertain nonlinear systems in the p-normal form, under a homogeneous growth condition. The construction of smooth state feedback controllers and homogeneous observers uses only the knowledge of the bounding homogeneous system rather than the uncertain system itself. The robust output feedback design approach is then extended to a class of uncertain cascade systems beyond a strict-triangular structure. Examples are provided to illustrate the results of the paper.

123 citations

Journal ArticleDOI
TL;DR: In this article, a finite element-based time domain system identification procedure is proposed to evaluate existing large structural systems at the element level, which does not need any information on the input excitation forces.
Abstract: A finite element‐based time domain system identification procedure is proposed to evaluate existing large structural systems at the element level. The procedure does not need any information on the input excitation forces. Since the input exciting forces are not required, there is no restriction on the type of exciting force, only a small number of observation time points are required and no information is required on the modal properties of the structure. The unknown exciting forces can be applied at the ground level representing the seismic excitation. The procedure is particularly applicable to identifying an existing structure. The method is verified using three examples. For verification purposes, both the noise‐free and noise‐included output responses are considered. In all cases, the proposed method identified the structural parameters very well. The errors in the estimation of the parameters are considerably smaller than those in the other methods currently available in the literature. The propose...

123 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023177
2022361
2021646
2020813
2019804
2018862