Feedback Scheduling

Keyword(s):  
2014 ◽  
Vol 631-632 ◽  
pp. 761-765
Author(s):  
Jing Cun Bi ◽  
Qi Li ◽  
Wei Jun Yang ◽  
Yan Fei Liu

As for the aperiodic tasks of node in network control systems, the FC-ABS (Feedback Controlled Adaptive Bandwidth Server) scheduling algorithm is designed. The different scheduling methods are used according to time characteristics of aperiodic tasks, and feedback scheduling is used to mitigate the effect of aperiodic tasks on periodic tasks. The simulation results show that the method is effective. Keyword: Network Control Systems; Server Scheduling; Feedback Scheduling; FC-ABS.


Smart grid integration needs a highly accurate power scheduling to minimizes the losses and efficiently utilize the power supply to minimize the loss. Scheduling of a smart grid interface is monitored based on single or multiple objectives scheduler, where the smart grids are scheduled based on the measured parameters of power dispatch and the consumption model. Wherein, multi objective scheduling results in prominent result, the system is a linear monitoring model, where no previous observations are considered in making present decision. This constraint the accuracy of scheduling. In this paper, a new feedback scheduling operation based on feedback operation is proposed. the approach significantly feedbacks the past parameter variation and leads to an optimal power supply in smart grid interface. The experimental results obtained signifies a optimal improvement in the decision delay and power compensation.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Hui-ying Chen ◽  
Zu-xin Li ◽  
Pei-liang Wang

For the networked control system with limited bandwidth and flexible workload, a dynamic intelligent feedback scheduling strategy is proposed. Firstly, a monitor is used to acquire the current available network bandwidth. Then, the new available bandwidth in the next interval is predicted by using LS_SVM approach. At the same time, the dynamic performance indices of all control loops are obtained with a two-dimensional fuzzy logic modulator. Finally, the predicted network bandwidth is dynamically allocated by the bandwidth manager and the priority allocator in terms of the loops' dynamic performance indices. Simulation results show that the sampling periods and priorities of control loops are adjusted timely according to the network workload condition and the dynamic performance of control loops, which make the system running in the optimal state all the time.


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