Identification of the nonlinear systems based on the kernel functions
Sign Up to like & getrecommendations! 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
Identification of nonlinear dynamical systems with time delay
Sign Up to like & getrecommendations! 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
Identification of nonlinear dynamical system with synthetic data: a preliminary investigation
Sign Up to like & getrecommendations! 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
On Identification of Nonlinear ARX Models with Sparsity in Regressors and Basis Functions
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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
Improved learning algorithm for two-layer neural networks for identification of nonlinear systems
Sign Up to like & getrecommendations! 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
Grey-box state-space identification of nonlinear mechanical vibrations
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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