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An alternate numerical solution to the linear quadratic problem

机译:线性二次问题的替代数值解

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摘要

This note proposes a new method, based on convex programming, for solving the linear quadratic problem (LQP) directly on the parameter space generated by the feedback control gain. All stabilizing controllers are mapped into a convex set; the problem is then formulated as a minimization of a linear function over this convex set. Its optimal solution furnishes, under certain conditions, the same feedback control gain obtained from the classical Riccati equation. Generalizations to decentralized control and output feedback control design are included. The theory is illustrated by some numerical examples.
机译:本说明提出了一种基于凸规划的新方法,用于直接在由反馈控制增益生成的参数空间上求解线性二次问题(LQP)。所有稳定控制器都映射到凸集;然后将该问题表述为该凸集上的线性函数的最小化。在某些条件下,其最佳解决方案可提供从经典Riccati方程获得的相同反馈控制增益。包括对分散控制和输出反馈控制设计的概括。通过一些数字示例说明了该理论。

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