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Chaotic Systems Reconstruction
2010This chapter deals with the multiple model approach based chaotic systems reconstruction. The approach is based on the design of unknown inputs multiple observers using Linear Matrix Inequalities (\( \mathcal{L}\mathcal{M}\mathcal{I} \)) formulation. The objective is to estimate state variables of a multiple model subject to unknown inputs affecting ...
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1981
Modern science owes its success to its ability to predict natural phenomena, thus allowing man a degree of control over his surroundings. The steady increase in man’s predictive power has enabled the building of a variety of machines which have transformed daily life.
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Modern science owes its success to its ability to predict natural phenomena, thus allowing man a degree of control over his surroundings. The steady increase in man’s predictive power has enabled the building of a variety of machines which have transformed daily life.
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2000
Abstract This chapter introduces chaotic behaviour by examining three systems — an electronic circuit, an iterated map model (the logistic map), and a set of differential equations (the Lorenz model) — and their behaviour in state space (phase space).
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Abstract This chapter introduces chaotic behaviour by examining three systems — an electronic circuit, an iterated map model (the logistic map), and a set of differential equations (the Lorenz model) — and their behaviour in state space (phase space).
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Superkinetic Growth of Oval Organic Semiconductor Microcrystals for Chaotic Lasing
Advanced Materials, 2021Haiyun Dong +2 more
exaly
Strange attractors and chaotic motions of dynamical systems
Reviews of Modern Physics, 1981Edward Ott
exaly
The synchronization of chaotic systems
Physics Reports, 2002Stefano Boccaletti, Grigory Osipov
exaly

