Minimum-delay link determination in networked control systems using Asexual Reproduction Optimization

A. Farasat, A. Amani, M. Menhaj
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引用次数: 2

Abstract

Networked control systems (NCS) have gained an increasing attention in recent years due to their flexibility and cost reduction. The two main problems affecting stability and performance of closed-loop NCS are packet delay and drop. The problem of delay is severe in large scale NCS where the sensor-controller-actuator are connected via a network with large number of switches and routers. In this paper, we propose a real time optimization algorithm, called Asexual Reproduction Optimization (ARO) which is inspired by asexual reproduction, to find the least delay link in the control loop. Simulation results reveal that the proposed algorithm remarkably outperforms the recently cited Genetic Algorithm (GA) in finding the minimum delay link.
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基于无性繁殖优化的网络控制系统的最小延迟链路确定
近年来,网络控制系统(NCS)因其灵活性和降低成本而受到越来越多的关注。影响闭环网络控制系统稳定性和性能的两个主要问题是数据包延迟和丢包。在大型网络控制系统中,传感器-控制器-执行器通过包含大量交换机和路由器的网络连接时,延迟问题非常严重。在本文中,我们提出了一种实时优化算法,称为无性繁殖优化(ARO),该算法的灵感来自无性繁殖,以寻找控制回路中延迟最小的环节。仿真结果表明,该算法在寻找最小延迟链路方面明显优于最近引用的遗传算法。
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