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A new numerical approach based on piecewise interpolation for solving a class of fractional optimal control problems

机译:一种新的数值方法,基于分段插值解决一类分数最优控制问题

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This paper presents a numerical approach based on piecewise interpolation for solving a class of fractional optimal control problems (FOCPs). The fractional derivative is described in the terms of Caputo. The performance index is considered as an integral cost function of both the state and control variables, and the dynamic constraint is described by a fractional differential equation of arbitrary order more than zero. The control equations in addition to a transversality condition have been obtained using the calculus of variations, the Lagrange multiplier, and the formula for fractional integration by parts. We introduce one piecewise interpolation method to obtain the numerical approximations of the fractional derivatives of the resulting equations. Then, the resulting equations are reduced to a set of algebraic equations which can be solved directly using a linear equation solver. Illustrative examples are provided to show the validity and high accuracy of the method. It is observed that the solutions approach to the classical solutions as the order of the fractional derivatives approach to 1. In comparison with another approximation method using the Grunwald-Letnikov definition, it has a higher accuracy on the same step size of the entire time domain.
机译:本文提出了一种基于分段插值的数值方法,用于解决一类分数最优控制问题(FOCP)。分数衍生物在Caputo方面描述。性能索引被认为是状态和控制变量的整体成本函数,并且动态约束由任意顺序的分数微分方程描述超过零。除了横向条件之外,还使用多变体,拉格朗日乘法器和部分按部分分数集成的公式获得控制方程。我们介绍一种分段插值方法,以获得所得方程的分数衍生物的数值近似。然后,将得到的方程减少到一组代数方程,可以使用线性方程求解器直接解决。提供了说明性示例以显示该方法的有效性和高精度。据观察,该解决方案对经典解决方案的方法作为分数衍生物的顺序。与使用Grunwald-Letnikov定义的另一种近似方法相比,它在整个时域的相同步长的准确度上具有更高的精度。

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