Exact Linearization Based Multiple-Subspace Iterative Resolution to Affine Nonlinear Control System
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摘要: 研究仿射非线性控制系统的最优控制问题.基于微分几何理论,在反馈精确线性化后,利用计算结构力学与最优控制之间模拟关系,沿用多重子结构法来解决线性化后的最优控制问题,最终实现对原非线性系统的求解.相比于经典的Taylor展开线性化方法,减小了误差会随使用区域的扩大而扩大的弊端.Abstract: To the optimal control problem of affine nonlinear system, based on differential geometry theory, feedback precise linearization was used. Then starting from the simulative relationship between computational structural mechanics and optimal control, multiple-substructure method was induced to solve the optimal control problem which was linearized. And finally the solution to the original nonlinear system was found. Compared with the classical linearizational method of Taylor expansion, this one diminishes the abuse of error expansion with the enlargement of used region.
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Key words:
- affine nonlinear system /
- precise linearization /
- multiple-substructure /
- optimal control
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