Contraction Analysis of Continuation Method for Suboptimal Model Predictive Control

Ryotaro Shima, Yuji Ito, Tatsuya Miyano
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Abstract

This letter presents contraction analysis of continuation method for suboptimal model predictive control. A contraction metric is proposed that reflects hierarchical dynamics inherent in the continuation method and, thus, leads us to a pair of tractable matrix inequalities characterizing contraction of closed-loop system controlled by the continuation method. A numerical example verifies our contraction analysis and demonstrates the tractability of the presented matrix inequalities.
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次优模型预测控制连续法的收缩分析
这篇文章介绍了用于次优模型预测控制的延续方法的收缩分析。本文提出的收缩度量反映了延续方法固有的层次动力学,并由此引出了一对可行的矩阵不等式,描述了由延续方法控制的闭环系统的收缩特征。一个数值示例验证了我们的收缩分析,并证明了所提出的矩阵不等式的可操作性。
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