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Article
License: CC BY
Data sources: UnpayWall
https://doi.org/10.1109/eecs.2...
Article . 2017 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.60692/9e...
Other literature type . 2017
Data sources: Datacite
https://dx.doi.org/10.60692/q9...
Other literature type . 2017
Data sources: Datacite
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Nonlinear Systems Identification With Discontinuous Nonlinearity

تحديد الأنظمة غير الخطية مع عدم الخطية المتقطعة
Authors: Mohamed Benyassi; Adil Brouri;

Nonlinear Systems Identification With Discontinuous Nonlinearity

Abstract

Dans cet article, l'identification des systèmes non linéaires est proposée. La non-linéarité considérée est de type dure. Cette dernière peut être discontinue et non inversible. L'ensemble du système non linéaire est structuré par le modèle de Hammerstein. En outre, le bloc dynamique linéaire est de n'importe quel ordre et peut être non paramétrique. La méthode d'identification du problème se fait à l'aide de signaux d'entrée simples.

En este documento, se propone la identificación de sistemas no lineales. La no linealidad considerada es de tipo duro. Este último puede ser discontinuo y no invertible. Todo el sistema no lineal está estructurado por el modelo de Hammerstein. Además, el bloque dinámico lineal es de cualquier orden y puede ser no paramétrico. El método de identificación de problemas se realiza utilizando señales de entrada simples.

In this paper, nonlinear systems identification is proposed. The considered nonlinearity is of hard type. This latter can be discontinuous and noninvertible. The entire nonlinear system is structured by Hammerstein model. Further, the linear dynamic block is of any order and can be nonparametric. The problem identification method is done using simple input signals.

في هذه الورقة، يُقترح تحديد الأنظمة غير الخطية. اللاخطية المعتبرة هي من النوع الصعب. يمكن أن يكون هذا الأخير متقطعًا وغير قابل للعكس. يتم تنظيم النظام غير الخطي بأكمله بواسطة نموذج هامرشتاين. علاوة على ذلك، فإن الكتلة الديناميكية الخطية هي من أي ترتيب ويمكن أن تكون غير بارامترية. تتم طريقة تحديد المشكلة باستخدام إشارات إدخال بسيطة.

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Keywords

Artificial intelligence, Geometry, Control (management), Epistemology, Process Fault Detection and Diagnosis in Industries, Quantum mechanics, Database, Identification (biology), Engineering, Artificial Intelligence, Control theory (sociology), FOS: Mathematics, System identification, Biology, Multivariable Systems, Nonlinear Models, Physics, System Identification, Botany, Neural Network Fundamentals and Applications, Applied mathematics, System Identification Techniques, Computer science, FOS: Philosophy, ethics and religion, Nonlinear system identification, Philosophy, Control and Systems Engineering, Physical Sciences, Computer Science, Nonlinear system, Simple (philosophy), Block (permutation group theory), Mathematics, Data modeling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average