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Recent Advances in Nonlinear Dynamics and Synchronization - Theory and Applications (Hardcover, 2010 ed.)
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Recent Advances in Nonlinear Dynamics and Synchronization - Theory and Applications (Hardcover, 2010 ed.)
Series: Studies in Computational Intelligence, 254
Expected to ship within 12 - 17 working days
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In essence, the dynamics of real world systems (i.e. engineered
systems, natural systems, social systesms, etc.) is nonlinear. The
analysis of this nonlinear character is generally performed through
both observational and modeling processes aiming at deriving
appropriate models (mathematical, logical, graphical, etc.) to
simulate or mimic the spatiotemporal dynamics of the given systems.
The complex intrinsic nature of these systems (i.e. nonlinearity
and spatiotemporal dynamics) can lead to striking dynamical
behaviors such as regular or irregular, stable or unstable,
periodicity or multi-periodicity, torus or chaotic dynamics. The
various potential applications of the knowledge about such dynamics
in technical sciences (engineering) are being intensively
demonstrated by diverse ongoing research activities worldwide.
However, both the modeling and the control of the nonlinear
dynamics in a range of systems is still not yet well-understood
(e.g. system models with time varying coefficients, immune systems,
swarm intelligent systems, chaotic and fractal systems, stochastic
systems, self-organized systems, etc.). This is due amongst others
to the challenging task of establishing a precise and systematic
fundamental or theoretical framework (e.g. methods and tools) to
analyze, understand, explain and predict the nonlinear dynamical
behavior of these systems, in some cases even in real-time. The
full insight in systems' nonlinear dynamic behavior is generally
achieved through approaches involving analytical, numerical and/or
experimental methods.
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