Titlebook: Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems; Ivan Zelinka,Guanrong Chen,Ajith Abraham Conference proceedings 20

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/n/image/668208.jpg

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https://doi.org/10.1007/978-3-319-00542-3Complex Systems; Intelligent Systems; Modeling; Nonlinear Systems; Prediction; complexity

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,Model Identification from Incomplete Data Set Describing State Variable Subset Only – The Problem ong data set describing only some of model variables. The algorithm uses many heuristics which are described below and which will be subject of future development. The first test of algorithm was applying the Lorenz attractor system data, where only the original system x and y variable data were used and z variable data were estimated.

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Dynamics of Partial Control of Chaotic Systems,lans for what we want to achieve are accompanied with situations we must avoid. Disturbances often disrupt our immediate plans, so we adapt to new situations.We only have partial control over our futures. Partial control aims at providing toy examples of chaotic situations where we try to avoid disa

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Prediction of Hidden Oscillations Existence in Nonlinear Dynamical Systems: Analytics and Simulatioractors can be localized numerically by a standard computational procedure, in which after a transient process a trajectory, starting from a point of unstable manifold in a neighborhood of equilibrium, reaches a state of oscillation, therefore one can easily identify it. In contrast, for a hidden at