自动化学报2009，Vol.35Issue(4)：443-448,6.DOI:10.3724/SP.J.1004.2009.00443
资源约束网络的优化带宽调度
Optimal Bandwidth Scheduling for Resource-constrained Networks
摘要
Abstract
In networked control systems (NCSs) with resource constraints, there is an unavoidable tradeoff between the con-trol 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 ap-proximate function and computational cost, a feed-forward neu-ral 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 maxi-mized 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.关键词
Networked control systems (NCSs)/bandwidth scheduling/multi-objective programming/neural network (NN)/optimizationKey words
Networked control systems (NCSs)/bandwidth scheduling/multi-objective programming/neural network (NN)/optimization分类
信息技术与安全科学引用本文复制引用
李祖欣,王万良,成新民..资源约束网络的优化带宽调度[J].自动化学报,2009,35(4):443-448,6.基金项目
Supported by National Natural Science Foundation of China (60573123, 60573056) （60573123, 60573056）
