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6por Cezanne, Alice, Lauer, Janelle, Solomatina, Anastasia, Sbalzarini, Ivo F, Zerial, MarinoEnlace del recurso
Publicado 2020
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7“…The ensemble Kalman filter (EnKF) is a data assimilation technique that uses an ensemble of models, updated with data, to track the time evolution of a usually non-linear system. It does so by using an empirical approximation to the well-known Kalman filter. …”
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8“…In this work, a novel estimation and sensor selection approach is presented that is able to stabilise the estimator Riccati equation for unobservable and non-linear system models. This is possible when estimators only target some specific quantities of interest that do not necessarily depend on all system states. …”
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13por Guan, Jian-sheng, Hong, Shao-jiang, Kang, Shao-bo, Zeng, Yong, Sun, Yuan, Lin, Chih-Min“…A robust adaptive recurrent cerebellar model articulation controller (RARC) neural network for non-linear systems using the genetic particle swarm optimization (GPSO) algorithm is presented in this study. …”
Publicado 2019
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14por Witczak, Marcin“… This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. …”
Publicado 2014
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16“…This paper presents a comprehensive study of non-linear systems of multi-order fractional differential equations from aspects of theory and numerical approximation. …”
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17por Akram, Muhammad Adeel, Liu, Peilin, Tahir, Muhammad Owais, Ali, Waqas, Wang, Yuze“…Its primary intention is for multiple source information fusion, although it is applicable to most non-linear systems. First, we propose a robust state prediction model to maintain state constancy over time. …”
Publicado 2019
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18“…Nonlinear Model Reduction by Moment Matching provides a comprehensive and accessible introduction into model reduction for researchers and students working on non-linear systems.…”
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19“…This interactive Mathematica(TM) notebook provides a ready-made tool by which users can undertake their own mathematical experiments and explore the behavior of non-linear systems, from chaos in low-dimensional maps and coupled ordinary differential equations to solitons and coherent structures in nonlinear partial differential equations and "intrisic localized modes" and "discrete breathers" in extended lattice systems.…”
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20por Groszkowski, Janusz“…Other chapters describe the self-oscillations in non-linear systems, the influence of linear elements on frequency of oscillations, and the electro mechanical oscillato…”
Publicado 1964
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