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Canonical duality approach for non-linear dynamical systems

机译:非线性动力系统的典范对偶方法

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This paper presents a canonical dual approach for solving a non-linear population growth problem governed by the well-known logistic equation. Using the finite difference and least squares methods, the non-linear differential equation is first formulated as a non-convex optimization problem with unknown parameters. We then prove that by the canonical duality theory, this non-convex problem is equivalent to a concave maximization problem over a convex feasible space, which can be solved easily to obtain a global optimal solution to this challenging problem. Several illustrative examples are presented.
机译:本文提出了一种经典的对偶方法,用于解决由众所周知的逻辑方程控制的非线性人口增长问题。使用有限差分和最小二乘法,首先将非线性微分方程公式化为具有未知参数的非凸优化问题。然后,我们证明通过规范对偶理论,该非凸问题等同于凸可行空间上的凹极大化问题,可以轻松解决该问题,以获得对该挑战性问题的全局最优解。给出了几个说明性的例子。

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