Nonlinear Generalization of Den Hartog's Equal-Peak Method [PDF]
, 2015 This study addresses the mitigation of a nonlinear resonance of a mechanical system. In view of the narrow bandwidth of the classical linear tuned vibration absorber, a nonlinear absorber, termed the nonlinear tuned vibration absorber (NLTVA), is ...
Detroux, Thibaut +3 more
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IEEE transactions on fuzzy systems, 2021 In this article, an observer-based fuzzy adaptive inverse optimal output feedback control problem is studied for a class of nonlinear systems in strict-feedback form.
Yong-ming Li, Xiao Min, Shaocheng Tong
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Discussion: “A Résumé of the Development and Literature of Nonlinear Control-System Theory” (Higgins, T. J., 1957, Trans. ASME, 79, pp. 445–449) [PDF]
, 1957 James D. Horgan
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From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples
, 2018 Linear parameter-varying (LPV) models form a powerful model class to analyze and control a (nonlinear) system of interest. Identifying a LPV model of a nonlinear system can be challenging due to the difficulty of selecting the scheduling variable(s) a ...
Schoukens, Maarten, Tóth, Roland
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Comparisons between harmonic balance and nonlinear output frequency response function in nonlinear system analysis [PDF]
, 2008 By using the Duffing oscillator as a case study, this paper shows that the harmonic components in the nonlinear system response to a sinusoidal input calculated using the Nonlinear Output Frequency Response Functions (NOFRFs) are one of the solutions ...
Billings, S.A. +3 more
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A differential game analysis of multi-regional coalition for transboundary pollution problems
Ecological Indicators, 2022 Basin water pollution control problem has become a real and serious challenge to build an environment-friendly and resource-conserving society. Since the water environment is quasi-public property, regional cooperation across upstream and downstream ...
Zuliang Lu +5 more
doaj
A Robust State Estimator for T-S Fuzzy System
IEEE Access, 2020 In this paper, a robust filter is derived to estimate the state of a nonlinear system which is described by T-S fuzzy model. Firstly, this paper studies a robust state estimation algorithm based on the relationship between Kalman filter and regularized ...
Ziqiang Li, Jing Wang, Huabo Liu
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Global reconstruction of nonlinear systems from families of linear systems [PDF]
, 2002 This note concerns a fundamental issue in the modelling and realisation of nonlinear systems; namely, whether it is possible to uniquely reconstruct a nonlinear system from a suitable collection of transfer functions and, if so, under what conditions. It
Leith, D.J., Leithead, W.E.
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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.
Burghi, Thiago +2 more
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Detecting and quantifying causal associations in large nonlinear time series datasets [PDF]
Science Advances, 2017 A novel causal discovery method for estimating nonlinear interdependency networks from large time series datasets. Identifying causal relationships and quantifying their strength from observational time series data are key problems in disciplines dealing
Jakob Runge +4 more
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