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首页> 外文期刊>Computers & mathematics with applications >Modeling of decentralized linear observer and tracker for a class of unknown interconnected large-scale sampled-data nonlinear systems with closed-loop decoupling property
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Modeling of decentralized linear observer and tracker for a class of unknown interconnected large-scale sampled-data nonlinear systems with closed-loop decoupling property

机译:一类具有闭环解耦特性的未知互连大样本数据非线性系统的分散线性观测器和跟踪器建模

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摘要

A novel low-order modeling of decentralized linear observer-based tracker is presented in this paper for a class of unknown interconnected large-scale sampled-data nonlinear systems with closed-loop decoupling property. The appropriate (low-)order decentralized linear observer is determined by the off-line observer/Kalman filter identification (OKID) methodology and has been further improved based on the digital-redesign approach. Then the decentralized digital-redesign tracker with the high gain property is proposed, so that the closed-loop system has the decoupling property. The proposed approach is quite simple and effective for the complicate interconnected large-scale sampled-data system with known or unknown system.
机译:针对具有闭环解耦特性的一类未知互连的大规模采样数据非线性系统,提出了一种基于分散线性观测器的跟踪器的新型低阶建模方法。适当的(低)阶分散线性观测器由离线观测器/卡尔曼滤波器识别(OKID)方法确定,并且已基于数字重新设计方法得到了进一步改进。然后提出了一种具有高增益特性的分散式数字重设计跟踪器,从而使闭环系统具有去耦特性。对于具有已知或未知系统的复杂互连大型采样数据系统,该方法非常简单有效。

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