Results 21 to 30 of about 1,346,541 (251)
Automatika, 2022 This paper studies the modelling of a class of nonlinear plants with known structures but unknown parameters and proposes a general nonlinear U-model expression. The particle swarm optimization algorithm is used to identify the time-varying parameters of
Fengxia Xu +3 more
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Parameter identification for Hammerstein nonlinear system with polynomial and state space model
Measurement + Control, 2023 This study investigates a two-stage parameter identification algorithm for the Hammerstein nonlinear system based on special test signals. The studied Hammerstein nonlinear system has a static nonlinear subsystem represented by polynomial basis function ...
Chenghao Li, Feng Li, Qingfeng Cao
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Feedback for nonlinear system identification [PDF]
2019 18th European Control Conference (ECC), 2019 Motivated by neuronal models from neuroscience, we consider the system identification of simple feedback structures whose behaviors include nonlinear phenomena such as excitability, limit-cycles and chaos. We show that output feedback is sufficient to solve the identification problem in a two-step procedure.
Thiago B. Burghi +2 more
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How Entropic Regression Beats the Outliers Problem in Nonlinear System Identification [PDF]
Chaos, 2019 In this work, we developed a nonlinear System Identification (SID) method that we called Entropic Regression. Our method adopts an information-theoretic measure for the data-driven discovery of the underlying dynamics.
A. A. AlMomani, Jie Sun, E. Bollt
semanticscholar +1 more source
A Simple Framework for Identifying Dynamical Systems in Closed-Loop
IEEE Access, 2021 In this paper, we propose a simple framework for closed-loop system identification: the stabilized output error method. Traditional closed-loop system identification methods rely on the linearity of the target system, and they require the identification ...
Ichiro Maruta, Toshiharu Sugie
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Nonlinear system identification of neural systems from neurophysiological signals
bioRxiv, 2020 The human nervous system is one of the most complicated systems in nature. Complex nonlinear behaviours have been shown from the single neuron level to the system level.
F. He, Yuan Yang
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Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory [PDF]
IEEE International Conference on Robotics and Automation, 2018 Soft robots are challenging to model due in large part to the nonlinear properties of soft materials. Fortunately, this softness makes it possible to safely observe their behavior under random control inputs, making them amenable to large-scale data ...
D. Bruder, C. Remy, Ram Vasudevan
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Nonlinear-Adaptive Mathematical System Identification
Computation, 2017 By reversing paradigms that normally utilize mathematical models as the basis for nonlinear adaptive controllers, this article describes using the controller to serve as a novel computational approach for mathematical system identification.
Timothy Sands
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Efficient hinging hyperplanes neural network and its application in nonlinear system identification [PDF]
at - Automatisierungstechnik, 2019 In this paper, the efficient hinging hyperplanes (EHH) neural network is proposed based on the model of hinging hyperplanes (HH). The EHH neural network is a distributed representation, the training of which involves solving several convex optimization ...
Jun Xu +5 more
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Analysis and Identification of Nonlinear Acoustic Damping in Miniature Loudspeakers
Applied Sciences, 2021 Nonlinear acoustic damping is a key nonlinearity in miniature loudspeakers when the air velocity is at a high amplitude. Measurement of nonlinear acoustic damping is beneficial for predicting and analyzing the performance of miniature loudspeakers ...
Jie Huang +3 more
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