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

Xiangfeng Zhang, Zhijie Wang, Zhao-Xia Liang

Open publisher page 3 citations

Abstract

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.

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What this paper is about

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.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

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.

Key concepts: Computer science, Fair-share scheduling, Dynamic priority scheduling, Two-level scheduling, Scheduling (production processes), Round-robin scheduling, Genetic algorithm scheduling, Distributed computing

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