文章基本信息

标题：Reference Tracking using a Non-Cooperative Distributed Model Predictive Control Algorithm
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作者：Anca Maxim ; Clara M. Ionescu ; Constantin F. Caruntu 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：7
页码：1079-1084
DOI：10.1016/j.ifacol.2016.07.346
语种：English
出版社：Elsevier
摘要：In this paper, a non-cooperative distributed model predictive control (DMPC) algorithm for tracking constant references is developed and evaluated. As such, an augmented model is employed (i.e. the control loop is embedded with integrators) and the augmented state contains the state increments and the error between the reference and the predicted output. The algorithm is tested in real life experiments on the quadruple tank process with non-minimum phase behaviour. The experimental results show acceptable performance index for the DMPC method when compared with the centralized approach.
关键词：non-cooperative DMPCreference trackingtwo agent systemsMIMO systemsnon-minimum phase systems