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Stable approach based diagonal recurrent quantum neural networks for identification of nonlinear systems. [PDF]

Sci Rep
Khalil H, Elshazly O, Shaheen O.
europepmc   +1 more source

Dynamic Behavior of Mass Sensor Based on Switchable Dual-Mode Composite Strips. [PDF]

Sensors (Basel)
Xu Y, Bi H.
europepmc   +1 more source

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On the Identification of Nonlinear Systems

IFAC Proceedings Volumes, 1982
Abstract For the identification of systems in which the nonlinear element is in the feedback path, a new technique based on the Volterra characterisation of nonlinear system, is presented. The method is shown to have distinct computational advantages. Simulation studies using the proposed method are given.
N.C. Jagan, D.C. Reddy
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Identification of nonlinear systems with nonlinear parameterization

2015 European Control Conference (ECC), 2015
A contraction based identification scheme for systems with nonlinear parameterizations is developed in this paper. Given a system with a general parameterization, an identification model is proposed such that time evolution of estimation error is composed by two blocks of parameterization: one linear and one nonlinear function of linear ...
A. Flores-Perez, Ileana Grave, Yu Tang 0016   +2 more
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Identification of nonlinear systems with hard nonlinearity

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), 2018
The problem of identifying nonlinear systems is proposed in the presence of hard nonlinearity. Presently, the nonlinear system is structured by Wiener-Hammerstein systems consist of a series connection including a nonlinear element sandwiched with two linear subsystems.
Adil Brouri, Tarik Rabyi, Abdelmalek Ouannou   +2 more
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Identification of nonlinear LFR systems with two nonlinearities

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013
When identifying a system (e.g. mechanical, electrical or chemical) based on inand output measurements and without physical knowledge, an engineer faces many choices. First of all, there exist standard linear models, but when those do not sufficiently well describe the data, nonlinear models should be considered.
Van Mulders, Anne, Vanbeylen, Laurent
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A bibliography on nonlinear system identification

Signal Processing, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Georgios B. Giannakis, Erchin Serpedin
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Identification of a kind of nonlinear system

2011 Seventh International Conference on Natural Computation, 2011
The identification of nonlinear system was the main topics in the current international identification fields. In this paper, an identification approach of a kind of nonlinear system is put forward. First, the idea of the method employed a system model composed with classical models so as to transform the system structure identification problem into a ...
Guangjun Liu, Xiaoping Xu, Feng Wang
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