An Immune-Genetic Algorithm-Based Scheduling Optimization in a Networked Control System

Network performance relies on the design of control algorithm and network information scheduling in a networked control system (NCS). The effect of the network scheduling is to allocate rationally network resources and improve network utilization. A scheduling approach is presented to implement the scheduling of a set of periodic tasks in this paper. And an immune genetic algorithm (IGA) is proposed to realize the network scheduling optimization. We take the transmission error of control systems as an object function. The simulation results show that the approach can optimize the scheduling of NCS and improve the network resource utilization.