引用本文: | 邝硕, 汪定伟.改进三级共态预估法收敛性能的四级算法[J].控制理论与应用,1985,2(2):62~71.[点击复制] |
Kuang Shao, Wang Dingwei.A FOUR LEVEL ALGORITHM TO IMPROVE THE CONVERGENCE OF THE THREE-LEVEL COSTATE PREDICTION METHOD[J].Control Theory and Technology,1985,2(2):62~71.[点击复制] |
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改进三级共态预估法收敛性能的四级算法 |
A FOUR LEVEL ALGORITHM TO IMPROVE THE CONVERGENCE OF THE THREE-LEVEL COSTATE PREDICTION METHOD |
摘要点击 1107 全文点击 510 投稿时间:1983-10-05 修订日期:1984-06-25 |
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DOI编号 |
1985,2(2):62-71 |
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英文关键词 |
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中文摘要 |
本文提出的四级算法是一种由Hassan-Singh的三级共态预估法发展起来的、解大规模非线性动态系统问题的递阶算法。为了获得更合理的对轨线的预估值x*、u*,运用Kalman滤波的思想改进了原来的预估算法。在实际应用中,这种改进的四级算法比三级算法表现出更好的收敛性能。最后在附录里对这种算法的收敛性作了证明 |
英文摘要 |
The four-level algorithm given in this paper is a hierarchical algorithm which is developed from the three-level costate prediction method of Hassan-Singh for solving large-scale non-linear dynamical system problems. In order to obtain the more reasonable prediction for the trajectories x*, u*, the main idea of the Kalman filter is used to modify the original prediction algorithm. In practical applications, this modified four-level algorithm does appear to provide more excellent convergence than the three-level algorithm. Finally, a proof of the convergence of this algorithm is given in the apppendix. |
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