
一种基于模糊逻辑的带宽管理方法
李祖欣1,2、王万良1、雷必成1、陈惠英1,2
An approach to bandwidth management based on fuzzy logic
Li Zuxin1,2、Wang Wanliang1、Lei Bicheng1、Chen Huiying1,2
在网络带宽受限的网络控制系统中,设计了一个基于一维输入输出映射关系的模糊逻辑调节器,对 控制系统的带宽进行动态管理。通过调整该模糊逻辑调节器中的非线性偏移因子可以进一步改善系统的控 制性能和带宽需求。同时利用线性矩阵不等式及资源受限条件来确定带宽动态分配的上下界来保证系的 稳定性。另外,定义了多回路归一化控制质量和归一化带宽需求度性能衡量指标来评价网络控制系统的全 局性能。在此评价方法下,提出的模糊带宽管理方法和采用固定带宽分配方法进行仿真比较。结果表明模 糊带宽管理方法相对于固定带宽分配方法而言在提高系统控制性能的同时也节省了网络带宽。
In networked control systems(NCSs),a fuzzy logic modulator,which is based on mapping relationship of one-dimensional input and one-dimensional output,is designed for the dynamic management of control systems' bandwidth. By adjusting a nonlinear offset factor in the fuzzy logic modulator,the control performance and requirement of bandwidth can be further improved.Moreover,the upper and lower bound of the assignable bandwidth,which guarantee the system's stability,are evaluated in terms of linear matrix inequalities and the restrained resource conditions.Finally, normalizable criterions of the quality of control (QoC) and requirement of bandwidth (RoB) are also defined,which can estimate the performance of the whole networked control systems. On those criterions, the proposed algorithm, namely fuzzy bandwidth management (FBM) , and traditional fixed bandwidth allocation (FBA) are compared. The results of simulation highlight that the proposed algorithm can significantly improve performance and save more bandwidth of control loop than the other one.
fuzzy bandwidth management / networked control systems / quality of control / requirement ofbandwidth
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