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首页> 外文期刊>International journal of systems science >An improved iterative computational approach to the solution of the Hamilton-Jacobi equation in optimal control problems of affine nonlinear systems with application
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An improved iterative computational approach to the solution of the Hamilton-Jacobi equation in optimal control problems of affine nonlinear systems with application

机译:一种改进汉密尔顿 - Jacobi方程解决方案在仿射非线性系统应用中的解决方案解决方案的改进迭代计算方法

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摘要

In this paper, we improve an earlier iterative successive approximation method for solving the Hamilton-Jacobi equation (HJE) arising in deterministic optimal control of affine nonlinear systems. The new methods generate smooth approximate solutions for systems with polynomial nonlinearities, compared with the former method that generates rational functions with possible singularities in the domain. We prove quadratic convergence of the methods and demonstrate their effectiveness with some examples. Application to factorisation of nonlinear systems is also discussed.
机译:在本文中,我们改善了一种求解母汉尔顿 - 雅各比等式(HJE)在仿射非线性系统的确定性最佳控制中产生的早期迭代连续近似方法。与前一种方法相比,新方法为具有多项式非线性的系统产生了平滑的近似解,与域中可能的奇点产生合理的函数。我们证明了这些方法的二次收敛,并展示了它们的效果与一些例子。还讨论了对非线性系统分解的应用。

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