2018
DOI: 10.1109/tcst.2017.2702122
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Adaptive Mesh Refinement Method for Optimal Control Using Decay Rates of Legendre Polynomial Coefficients

Abstract: An adaptive mesh refinement method for solving optimal control problems is described. The method employs orthogonal collocation at Legendre-Gauss-Radau points. Accuracy in the method is achieved by adjusting the number of mesh intervals, the polynomial degree within each mesh interval, and, when possible, reducing the mesh size. The decision to increase the degree of the polynomial within a mesh interval or to create new mesh intervals is based on the decay rate of the coefficients of a Legendre polynomial app… Show more

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Cited by 75 publications
(102 citation statements)
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“…For problems requiring more than a single mesh refinement to meet accuracy tolerance, the bang-bang mesh refinement method will utilize the hp-adaptive method described in Ref. [32] to further refine the phases not meeting the specified mesh accuracy tolerance. It is noted that any of the four previously developed hp-adaptive mesh refinement methods may be paired with the bang-bang mesh refinement method.…”
Section: Examplesmentioning
confidence: 99%
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“…For problems requiring more than a single mesh refinement to meet accuracy tolerance, the bang-bang mesh refinement method will utilize the hp-adaptive method described in Ref. [32] to further refine the phases not meeting the specified mesh accuracy tolerance. It is noted that any of the four previously developed hp-adaptive mesh refinement methods may be paired with the bang-bang mesh refinement method.…”
Section: Examplesmentioning
confidence: 99%
“…In an hp method, both the number of mesh intervals and the degree of the approximating polynomial within each mesh interval are allowed to vary. While hp methods were originally developed as finite-element methods for solving partial differential equations [26,27,28,29,30], over the past several years hp methods have been developed for solving optimal control problems [15,16,19,31,32]. The methods described in Refs.…”
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confidence: 99%
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“…These include pseudospectral methods 9 and adaptive wavelet methods. 10 In the work of Liu et al, 11 the decay rates of Lengendre polynomial coefficients act as an estimate of the state approximation error.…”
Section: Introductionmentioning
confidence: 99%