Sequential Monte Carlo Methods for System Identification [PDF]
, 2015 One of the key challenges in identifying nonlinear and possibly non-Gaussian state space models (SSMs) is the intractability of estimating the system state.
Dahlin, Johan +6 more
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Propagation of chaos and Poincar\'e inequalities for a system of particles interacting through their cdf [PDF]
, 2008 In the particular case of a concave flux function, we are interested in the long time behaviour of the nonlinear process associated to the one-dimensional viscous scalar conservation law.
Jourdain, Benjamin, Malrieu, Florent
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Irrationality and quasiperiodicity in driven nonlinear systems [PDF]
, 2014 We analyse the relationship between irrationality and quasiperiodicity in nonlinear driven systems. To that purpose we consider a nonlinear system whose steady-state response is very sensitive to the periodic or quasiperiodic character of the input ...
Casado-Pascual, Jesus +2 more
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Systems of nonlinear wave equations with nonlinear viscosity [PDF]
Pacific Journal of Mathematics, 1988 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Friedman, Avner, Nečas, Jindřich
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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
semanticscholar +1 more source
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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Observability of nonlinear systems [PDF]
Mathematica Bohemica, 2006 Summary: Observability of a general nonlinear system -- given in terms of an ODE \(\dot {x}=f(x)\) and an output map \(y=c(x)\) -- is defined as in linear system theory (i.e.\,if \(f(x)=Ax\) and \(c(x)=Cx\)). In contrast to standard treatment of the subject we present a criterion for observability which is not a generalization of a known linear test ...
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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
semanticscholar +1 more source
Stochastic evolution game analysis of the strategic coalition of enterprise pollution control
AIMS MathematicsTo address pollution control, cooperation among interested parties is essential. This paper examines a stochastic evolution game model involving a strategic coalition of three enterprises for pollution control.
Zuliang Lu +4 more
doaj +1 more source
Simple Sliding Mode Controller with Adaptive Fuzzy Saturation Function for Nonlinear Single Input-Single Output System [PDF]
Engineering and Technology Journal, 2010 Sliding mode control algorithm that uses fuzzy saturation function is designed inthis paper for nonlinear system. The fuzzy saturation function is suggested to improvethe accuracy and the robustness of the sliding mode control which are partially ...
Hanady A. Jaber +2 more
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