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Chaotic Newton Iterative Method to Mechanism Synthesis Based on Chaotic Sequences Produced by Anti-control of chaos in Induction Motor Motion

机译:基于混沌序列的混沌序列在感应电动机运动中混沌抗控制产生的机理合成的混沌牛顿迭代方法

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Discovery of dynamical chaos is one of the main achievements in the modern science and how to expand its application has significant meaning for the development of modern science. Many questions in natural science and engineering are transformed into finding the solutions of nonlinear equations. Newton iterative method is an important technique of one dimensional and multidimensional variables and iteration process exhibits sensitive dependence on initial guess point. For the first time, a new method of finding all solutions of nonlinear equations is proposed, in which initial points are taken as chaotic sequences generated by anti-control of chaos in induction motor motion. The range of chaotic variables is bigger than that in other methods and the chaotic variables are not emanative, so the computing time is less than other methods. The numerical examples in linkage synthesis and approximate synthesis show that the method is correct and effective.
机译:Discovery对动态混乱是现代科学的主要成就之一,以及如何扩展其应用对现代科学的发展具有重要意义。自然科学和工程中的许多问题被转变为找到非线性方程的解。牛顿迭代方法是一维的重要技术,多维变量和迭代过程对初始猜测点表现出敏感的依赖性。首次,提出了一种寻找非线性方程的所有解的新方法,其中初始点被视为由感应电动机运动中混沌的防控制产生的混沌序列。混沌变量的范围比其他方法更大,并且混沌变量不是发出的,因此计算时间小于其他方法。连杆合成和近似合成中的数值实例表明该方法是正确且有效的。

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