次优模型预测控制延拓方法的收缩分析

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-12-27 DOI:10.1109/LCSYS.2024.3523584
Ryotaro Shima;Yuji Ito;Tatsuya Miyano
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引用次数: 0

摘要

本文用延拓方法分析了次优模型预测控制(MPC)控制的非线性系统的收缩特性。我们提出了一个反映延拓方法中固有的层次动力学的收缩度量。我们导出了一对矩阵不等式,说明了次最优性对最优控制闭环系统收缩的影响。给出了一个数值算例来验证我们的收缩分析。我们的结果适用于除稳定化外的其他MPC,包括经济MPC。
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Contraction Analysis of Continuation Method for Suboptimal Model Predictive Control
This letter analyzes the contraction property of the nonlinear systems controlled by suboptimal model predictive control (MPC) using the continuation method. We propose a contraction metric that reflects the hierarchical dynamics inherent in the continuation method. We derive a pair of matrix inequalities that elucidate the impact of suboptimality on the contraction of the optimally controlled closed-loop system. A numerical example is presented to verify our contraction analysis. Our results are applicable to other MPCs than stabilization, including economic MPC.
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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