WSNs中基于模糊干扰系统的构簇任务调度策略

尽管簇路由是缓解无线传感网络(Wireless Sensor Networks,WSNs)能耗问题的有效技术。但是,构建簇本身也消耗能量。为此,提出基于模糊干扰系统的构簇策略。该策略引用复轮,每个复轮含有多个轮,只在复轮开始阶段才构建簇。并依据簇头的剩余能量和距离作为模糊干扰系统的输入,再由模糊干扰系统决策复轮的长度,实现了动态地调整复轮长度,降低构簇能耗。仿真数据表明,该策略能有效地降低能耗,并降低了数据传输时延。

基于FLS的多级队列CPU调度系统仿真研究

传统的多级队列调度方法为每个队列分配一个优先等级,并根据队列的等级将过程分配到不同的子队列中。高优先级队列中的过程通常会抢占低优先级队列过程的资源,使低优先级队列中的过程一直得不到服务。针对上述问题,利用模糊符号逻辑,提出了一种多级队列CPU调度算法。上述算法将就绪队列分为两个子队列,每个子队列包含I/O极限处理和CPU极限处理,且CPU时间动态地分配到每个队列中。设计了两种模糊干扰系统,一种系统动态地为两个子队列分配CPU处理时间,另一种系统计算时间量子来调度I/O极限过程。仿真结果表明,所提算法改善了过程饥饿问题,以及平均响应时间性能。

Pneumatic active suspension system for a one-wheel car model using fuzzy reasoning and a disturbance observer

This paper presents the construction of a pneumatic active suspension system for a one-wheel car model using fuzzy reasoning and a disturbance observer. The one-wheel car model can be approximately described as a nonlinear two degrees of freedom system subject to excitation from a road profile. The active control is composed of fuzzy and disturbance controls, and the active control force is constructed by actuating a pneumatic actuator. A phase lead-lag compensator is inserted to counter the performance degradation due to the delay of the pneumatic actuator. The experimental result indicates that the proposed active suspension improves much the vibration suppression of the car model.