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Optimization method for controlling chaos problems: theory and a

机译:控制混沌问题的优化方法:理论与实践

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Abstract: We present a dynamical control method where a trajectory on a chaotic attractor is directed by small perturbations towards a chosen unstable set. This method is alternative to the classical Ott-Grebogi-Yorke control procedure. Our approach is based on the discrete and continuous maximum principles and optimizes the mean time to achieve control even at large distances from the desired state. The proposed method is tested both in simple models (1D and 2D maps) and in multidimensional systems (complex Ginzburg-Landau equations). A possible decrease of the strange attractor dimension by means of this method is also discussed.!12
机译:摘要:我们提出了一种动态控制方法,其中混沌吸引子上的轨迹由小的扰动指向所选的不稳定集。该方法是经典Ott-Grebogi-Yorke控制程序的替代方法。我们的方法基于离散和连续的最大原理,即使在距所需状态很远的距离上,也可以优化平均时间以实现控制。在简单的模型(一维和二维地图)和多维系统(复杂的Ginzburg-Landau方程)中都对所提出的方法进行了测试。还讨论了通过这种方法可能会减小奇怪的吸引子尺寸!! 12

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