Results 181 to 190 of about 1,346,541 (251)

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
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +2 more sources

Design of experiments for nonlinear system identification: A set membership approach

at - Automatisierungstechnik, 2020
Design of Experiments (DoE) is an important step in system identification. Regardless of the chosen model structure and identification method, the DoE quality determines an upper bound on the accuracy of the identified models.
Milad Karimshoushtari, C. Novara
semanticscholar   +1 more source

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
openaire   +1 more source

Nonlinear System Identification With Robust Multiple Model Approach

IEEE Transactions on Control Systems Technology, 2020
This brief develops a robust multiple model strategy for nonlinear system identification with system output data corrupted by outliers. The nonlinear system is described as a global model that combines multiple local nonlinear state-space models (SSMs ...
Xin Liu, Xianqiang Yang, Shen Yin
semanticscholar   +1 more source

Nonlinear System Identification

, 2013
S. Billings
openaire   +2 more sources

A bibliography on nonlinear system identification

Signal Processing, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Georgios B. Giannakis, Erchin Serpedin
openaire   +1 more source

Nonlinear dynamical system identification using the sparse regression and separable least squares methods

Journal of Sound and Vibration, 2021
This paper proposes a novel nonlinear dynamical system identification method based on the sparse regression algorithm and the separable least squares method.
Miaomiao Lin, Changming Cheng, Zhike Peng   +2 more
exaly   +2 more sources

Multiscale nonlinear system identification

2007 46th IEEE Conference on Decision and Control, 2007
Multiscale wavelet-based representation is a powerful data analysis and feature extraction tool. In this paper, this characteristic of multiscale representation is utilized to improve the prediction accuracy of nonlinear models by developing a multiscale nonlinear (MSNL) system identification algorithm. In particular, we consider the class of linear-in-
Mohamed N. Nounou, Hazem N. Nounou
openaire   +1 more source