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FIXED-STRUCTURE H_∞ CONTROLLER DESIGN BASED ON DISTRIBUTED PROBABILISTIC MODEL-BUILDING GENETIC ALGORITHM

机译:基于分布概率模型遗传算法的固定结构H_∞控制器设计

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摘要

This paper presents an approach for solving fixed-orderrnH_∞ controller design problem that is known as NP-hard.rnDistributed Probabilistic Model-Building Genetic Algorithmrn(DPMB-GA), which is recently developed and isrnknown as an efficient meta-heuristic method, is utilizedrnfor solving the problem. Conducting numerical experiments,rnwe show that the control system design methodrnwith DPMB-GA can achieve better performance comparedrnto Particle Swarm Optimization (PSO) algorithm which isrnalso known as one of efficient meta-heuristics and recentlyrnwas applied to control system design.
机译:本文提出了一种解决定序的H_∞控制器设计问题的方法,即NP-hard。最近开发的分布式概率模型构建遗传算法(DPMB-GA)是一种有效的元启发式方法。用于解决问题。进行了数值实验,结果表明,与粒子群算法(PSO)相比,采用DPMB-GA的控制系统设计方法具有更好的性能。粒子群优化(PSO)算法又被称为高效的元启发式算法之一,最近被应用于控制系统设计中。

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