Transcale LQG tracking control for a class of discrete stochastic systems

Lin Zhao; Yingmin Jia

doi:10.1016/j.engappai.2013.12.007

Transcale LQG tracking control for a class of discrete stochastic systems

Lin Zhao^*
, Yingmin Jia

^*此作品的通讯作者

自动化科学与电气工程学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

3 引用（Scopus）

摘要

A wavelet-based real-time transcale linear-quadratic-Gaussian (LQG) tracking control algorithm is presented and discussed, which extends the classical single-scale system control tool to a multiscale scenario. The new strategy determines the control law at the finest scale such that it can reflect the control laws at different coarser scales and guarantee the corresponding performance indexes of coarser scales to be minimized. Simulation result shows that significant improvements in computational efficiency are achieved.

源语言	英语
页（从-至）	129-136
页数	8
期刊	Engineering Applications of Artificial Intelligence
卷	30
DOI	https://doi.org/10.1016/j.engappai.2013.12.007
出版状态	已出版 - 4月 2014

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abstract = "A wavelet-based real-time transcale linear-quadratic-Gaussian (LQG) tracking control algorithm is presented and discussed, which extends the classical single-scale system control tool to a multiscale scenario. The new strategy determines the control law at the finest scale such that it can reflect the control laws at different coarser scales and guarantee the corresponding performance indexes of coarser scales to be minimized. Simulation result shows that significant improvements in computational efficiency are achieved.",

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AB - A wavelet-based real-time transcale linear-quadratic-Gaussian (LQG) tracking control algorithm is presented and discussed, which extends the classical single-scale system control tool to a multiscale scenario. The new strategy determines the control law at the finest scale such that it can reflect the control laws at different coarser scales and guarantee the corresponding performance indexes of coarser scales to be minimized. Simulation result shows that significant improvements in computational efficiency are achieved.

KW - LQG tracking control

KW - Multiscale system

KW - Parallel processing

KW - Real-time

KW - Transcale control

KW - Wavelet transform

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Transcale LQG tracking control for a class of discrete stochastic systems

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