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   Articles with "identification nonlinear" as a keyword



Identification of the nonlinear systems based on the kernel functions

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recommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.5646

Abstract: Constructing an appropriate membership function is significant in fuzzy logic control. Based on the multi‐model control theory, this article constructs a novel kernel function which can implement the fuzzification and defuzzification processes and reflect the… read more here.

Keywords: systems based; nonlinear systems; identification nonlinear; kernel functions ... See more keywords

Koopman operator based identification of nonlinear networks

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recommendations! Published in 2024 at "Nonlinear Dynamics"

DOI: 10.1007/s11071-025-11560-y

Abstract: In this work, we develop a method to identify continuous-time nonlinear networked dynamics via the Koopman operator framework. The proposed technique consists of two steps: the first step identifies the neighbors of each node, and… read more here.

Keywords: based identification; identification nonlinear; operator based; koopman operator ... See more keywords

Identification of nonlinear dynamical systems with time delay

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recommendations! Published in 2021 at "International Journal of Dynamics and Control"

DOI: 10.1007/s40435-021-00783-7

Abstract: This paper proposes a technique to identify nonlinear dynamical systems with time delay. The sparse optimization algorithm is extended to nonlinear systems with time delay. The proposed algorithm combines cross-validation techniques from machine learning for… read more here.

Keywords: time; systems time; time delay; nonlinear dynamical ... See more keywords
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Identification of nonlinear dynamical system with synthetic data: a preliminary investigation

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recommendations! Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.09.227

Abstract: Abstract This paper introduces a new rationale for learning nonlinear dynamical systems. The method makes use of an additional identification dataset, obtained without performing a new experiment on the system under study. The data are… read more here.

Keywords: dynamical system; identification; system synthetic; nonlinear dynamical ... See more keywords
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On Identification of Nonlinear ARX Models with Sparsity in Regressors and Basis Functions

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recommendations! Published in 2021 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2021.08.446

Abstract: Abstract We present techniques for minimal order, sparse identification of Nonlinear ARX models. We consider two notions of sparsity - in the number of regressors used and in the number of basis functions employed by… read more here.

Keywords: basis functions; arx models; nonlinear arx; sparsity ... See more keywords
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Improved learning algorithm for two-layer neural networks for identification of nonlinear systems

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.10.008

Abstract: Abstract This study is concerned with the asymptotic identification of nonlinear systems based on Lyapunov theory and two-layer neural networks. An improved identification model enhanced with a feedback term and a novel adaptation law for… read more here.

Keywords: neural networks; layer neural; identification; nonlinear systems ... See more keywords

Sparse identification of nonlinear dynamics applied to the acoustic levitation of acoustically large objects

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-24666-5

Abstract: Many studies on acoustic radiation forces, especially those applied to acoustic levitation, focus on characterizing the behaviour of acoustic fields. However, the dynamic response of the levitated objects, particularly those larger than the wavelength limit,… read more here.

Keywords: identification nonlinear; acoustic levitation; applied acoustic; acoustically large ... See more keywords

Grey-box state-space identification of nonlinear mechanical vibrations

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recommendations! Published in 2018 at "International Journal of Control"

DOI: 10.1080/00207179.2017.1308557

Abstract: ABSTRACT The present paper deals with the identification of nonlinear mechanical vibrations. A grey-box, or semi-physical, nonlinear state-space representation is introduced, expressing the nonlinear basis functions using a limited number of measured output variables. This… read more here.

Keywords: grey box; mechanical vibrations; state space; nonlinear mechanical ... See more keywords

On the identification of a nonlinear term in a reaction–diffusion equation

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recommendations! Published in 2019 at "Inverse Problems"

DOI: 10.1088/1361-6420/ab2aab

Abstract: Reaction-diffusion equations are one of the most common partial differential equations used to model physical phenomenon. They arise as the combination of two physical processes: a driving force $f(u)$ that depends on the state variable… read more here.

Keywords: term; diffusion; reaction diffusion; equation ... See more keywords

Attack Identification for Nonlinear Systems Based on Sparse Optimization

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recommendations! Published in 2022 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2021.3131433

Abstract: Adversarial attacks on controllers of dynamic systems have become a serious threat to many real-world systems, making methods for fast identification of attacks an indispensable part of autonomous systems. With the increasing use of model-based… read more here.

Keywords: sparse optimization; attack identification; identification nonlinear; identification ... See more keywords

Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design

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recommendations! Published in 2022 at "IEEE Transactions on Control Systems Technology"

DOI: 10.1109/tcst.2022.3171130

Abstract: This brief presents a new framework for the identification of nonlinear autoregressive (AR) models with exogenous inputs (NARX) model for design (NARX-M-for-D), which represents NARX of engineering systems where the model coefficients are represented explicitly… read more here.

Keywords: identification nonlinear; autoregressive models; design; model ... See more keywords