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Controlling Chaos! Dylan Thomas and Alex Yang
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Why control chaos? One may want a system to be used for different purposes at different times Chaos offers flexibility (ability to switch between behaviors as circumstances change) Small changes produce large effects
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How is it done? Chaotic systems can be controlled by using the underlying non-linear deterministic structure. Exploit extreme sensitivity to initial conditions Use small, appropriately timed changes to bring the system onto the stable manifold of an unstable orbit
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Famous examples Chaotic ribbon Lorentz equations
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ISEE-3/ICE and the n body problem
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Two methods Ott, Grebogi, Yorke: modify parameters of the system to move the stable manifold to the current system state Garfinkel et. al. (Proportional perturbation feedback): force the system onto the stable manifold by a small perturbation
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The logistic map
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The Hénon map
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Variation of a parameter in the Hénon map Legend: Green =stable manifold Red = unstable manifold
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Matlab experimental results
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Controlling chaos when the equations determining the system are not known Let Z 1, Z 2,…,Z n be a trajectory, or a series of piercing of a Poincare surface-of-section If two successive Zs are close, then there will be a period one orbit Z* nearby Find other such close successive pairs of points, which will exist because orbits on a strange attractor are ergodic. Perform a regression to estimate A, an approximation of the Jacobian matrix, and C, a constant vector. For period 2 points, proceed the same way, for pairs (Zn, Zn+2)
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Altering the dynamics of arrythmia
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Cardiac tissue
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Neurons Schiff et al. removed and sectioned the hippocampus of rats (where sensory inputs and distributed to the forebrain) and perfused it with artificial cerebrospinal fluid.
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