北京科技大学学报Issue(7)：979-985,7.DOI:10.13374/j.issn1001-053x.2014.07.019
基于粒子群优化算法和博弈论的网络学习控制系统带宽调度
Bandwidth scheduling of a networked learning control system using particle swarm optimization and the game theory
摘要
Abstract
The optimal bandwidth scheduling problem was studied for a two-layer networked learning control system ( NLCS) . A dynamic bandwidth scheduling methodology based on the network pricing mechanism was proposed to allocate the bandwidth for each subsystem, so the network resource allocation problem was transformed into the solution of the Nash equilibrium with a non-cooperation game model. Under this framework, particle swarm optimization ( PSO) was used to obtain the Nash equilibrium for NLCS, and the time slice scheduling method was also provided. Simulation results were given to demonstrate the effectiveness of the proposed ap-proach.关键词
网络控制系统/定价/博弈论/粒子群优化算法Key words
networked control systems/pricing/game theory/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
严翔,李洪波,王立德,申萍..基于粒子群优化算法和博弈论的网络学习控制系统带宽调度[J].北京科技大学学报,2014,(7):979-985,7.基金项目
中央高校基本科研业务费资助项目(E11JB00310, E12JB00140) （E11JB00310, E12JB00140）
国家重点基础研究发展计划资助项目(2012CB821206) （2012CB821206）
国家自然科学基金资助项目(61004021,61174069,61004023) （61004021,61174069,61004023）
北京市自然科学基金资助项目(4122037) （4122037）
