Journal ArticleDOI
Identification of Hammerstein–Wiener models with hysteresis front nonlinearities
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In this paper, the front nonlinear block is allowed to be the memory of hysteresis type, which is a special case of the Hammerstein-Wiener model, where the memory can be any nonlinear unit.Abstract:
This paper deals with the identification of Hammerstein–Wiener models. The novelty lies in the fact that the front nonlinear block is allowed to be the memory of hysteresis type. The latter is any ...read more
Citations
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Journal ArticleDOI
Wiener–Hammerstein nonlinear system identification using spectral analysis
TL;DR: In this article , a two-stage identification method is proposed for the identification of Wiener-Hammerstein model structures, in which the first stage is to identify the system's dynamics over the input and the output LTI elements, and the second stage is based on spectral analysis and using periodic input signals to determine the linear elements parameters.
Journal ArticleDOI
Neural Network-Based Identification of a Pressure Swing Adsorption Process for Production and Purification of Bioethanol
Erasmo Misael Rentería-Vargas,Carlos Jesús Zúñiga Aguilar,Jesse Y. Rumbo Morales,F.D.J. Sorcia-Vázquez,Miguel De-la-Torre,Jos-Antonio Cervantes,Estela Sarmiento Bustos,Manuela Calixto Rodríguez +7 more
TL;DR: This work focuses on obtaining an identified model capable of capturing the important dynamics of the PSA process and to be used for controller design purposes, since it is very complicated to design control in highly nonlinear models that are represented with partial differential equations (PDE).
Fuzzy-Weighted Differential Evolution Computing Paradigm for Fractional Order Nonlinear Wiener Systems
Journal ArticleDOI
Parameter Identification of Switched Reluctance Motor Using Exponential Swept-Sine Signal
Abdelmalek Ouannou,Adil Brouri,Fouad Giri,Laila Kadi,H. Oubouaddi,Shimaa A. Hussien,Norah Alwadai,Mohamed I. Mosaad +7 more
TL;DR: In this article , a generalized polynomial Hammerstein model is proposed for modeling SRM parameters, and an identification method is proposed to obtain estimates of SRM parameter parameters by exciting the system with a swept-sine signal.
Proceedings ArticleDOI
Identification of switched reluctance machine inductance using artificial neuronal network
TL;DR: In this article , a new method for identified the parameters of switched reluctance machine (SRM) using neural network and Hammerstein model is presented, which consists of a static nonlinear block followed by a dynamic linear block.
References
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Journal ArticleDOI
Theory of ferromagnetic hysteresis
David Jiles,David L. Atherton +1 more
TL;DR: In this paper, a mathematical model of the hysteresis mechanisms in ferromagnets is presented based on existing ideas of domain wall motion including both bending and translation, which gives rise to a frictional force opposing the movement of domain walls.
Journal ArticleDOI
Phenomenological model for magnetorheological dampers
TL;DR: In this article, a model for controllable fluid dampers is proposed that can effectively portray the behavior of a typical magnetorheological (MR) damper and compared with experimental results for a prototype damper.
Journal ArticleDOI
Applications of the theory of Boolean rings to general topology
TL;DR: In this article, it was shown that the theory of Boolean rings is mathematically equivalent to the topological theory of locally-bicompact totally-disconnected topological spaces.
Journal ArticleDOI
An experimental study of MR dampers for seismic protection
TL;DR: In this paper, the performance of magnetorheological dampers for seismic response reduction is examined and the results indicate that the MR damper is quite effective for structural response reduction over a wide class of seismic excitations.
BookDOI
Block Oriented Nonlinear System Identification
Fouad Giri,Er-Wei Bai +1 more
TL;DR: In this article, an optimal two-stage identification algorithm for Hammerstein-Wiener Nonlinear Systems was proposed. But the method was not suitable for the case of hard memory nonlinearities of known structure.