资源约束网络的优化带宽调度(英文)

被引：4

作者：

李祖欣 ^{[1
,2
]}

王万良 ^{[2
]}

成新民 ^{[1
]}

机构：

[1] School of Information Engineering,Huzhou Teachers College

[2] College of Information Engineering,Zhejiang University of Technology

来源：

自动化学报 | 2009年 / 35卷 / 04期

关键词：

Networked control systems(NCSs); bandwidth scheduling; multi-objective programming; neural network(NN); optimization;

D O I：

暂无

中图分类号：

TP273.5 [];

学科分类号：

080201 ; 0835 ;

摘要：

<正>In networked control systems(NCSs) with resource constraints,there is an unavoidable tradeoff between the control performance and the quality of service.To address these problems,we present multi-objective programming with a set of constraints to optimize control performance and bandwidth consumption for the first time.Thanks to robust nonlinear approximate function and computational cost,a feed-forward neural network as optimal approximator is employed.The role of the neural network,which provides a good approximation to the optimal solution,dynamically allocates the bandwidth of each control loop so that the overall system performance is maximized while bandwidth consumption is minimized.Preliminary simulation results show that the proposed optimal strategy is an effective tradeoff method between the control performance and bandwidth consumption in networked control applications.

引用

页码：443 / 448

页数：6

共 5 条

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[2] Control methodologies in networked control systems [J].

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[3]

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[4]

A scheduling method for network-based control systems .2 Park H S,Kim Y H,Kim D S,et al. IEEE Transactions on Control Systems Technology . 2002

[5]

Sched-uling and feedback co-design for networked control sys-tems .2 BRANICKY MS,PHILLIPS S M,ZHANG W. Proceedings of the41st IEEE Conference on Decision and Control . 2002

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