摘要
事件驱动模型是对时延值小于一个采样周期的网络系统的主要描述方式,针对事件驱动模型描述的网络系统,研究其控制策略以改善其控制性能。首先将原有的事件驱动模型通过增广转化为标准离散模型,并将其系统矩阵中包含的由网络随机时延造成的不确定性描述成为多凸多面体模型。针对模型的特点设计了具有强时延依赖控制增益集合,并给出根据时延值实时信息从集合中在线加权组合得到最终控制增益的方法。通过增强控制器和时延值的依赖性,增加控制器设计的自由度,提高了系统的控制性能。
Event-driven model is the major way to describe the network system with time delay less than one sample period. How to decrease the conservation is the core problem in designing controller for this kind of model. In this paper, by means of augmentation, the existing event-driven model is transformed into discrete models with uncertainty determined by the time delay, and the uncertainty is described by multi-convex polytropic models. Given the features of the model after transformation, a set of controller g...
出处
《微型电脑应用》
2011年第1期31-33,64+5,共5页
Microcomputer Applications
关键词
网络时延
事件触发
强时延依赖
多凸多面体蕴含
预测控制
Network Time Delay
Event-driven
Delay Strongly Dependent
Multi-convex Polytrophic
Predictive Control
