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首页> 外文期刊>International journal of artificial intelligence and soft computing >Hybrid approach for pole assignment using LQR technique and Ant System metaheuristic
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Hybrid approach for pole assignment using LQR technique and Ant System metaheuristic

机译:基于LQR技术和蚂蚁系统元启发式的极点配置混合方法。

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摘要

We present in this paper a new metaheuristic using Ant System metaheuristic to search an optimal command law in LQR sense that gives for a feedback system a given values by pole assignment. In fact, these hybrid techniques of conventional and non conventional methods present a good compromise between the simplicity of use and the quality of proposed solutions in a reasonable computing time. The results obtained by using this technique show its efficiency in the proposed problem and can be considered as a competitive method for those issued from a complicate mathematic formulation.
机译:我们在本文中提出了一种新的元启发式算法,它使用蚂蚁系统元启发式算法在LQR意义上搜索最优命令定律,该最优指令定律通过极点分配为反馈系统提供给定值。实际上,这些常规和非常规方法的混合技术在合理的计算时间内,在使用的简便性和所提出的解决方案的质量之间取得了很好的折衷。通过使用此技术获得的结果显示了其在提出的问题中的效率,并且可以认为是从复杂的数学公式发布的方法中获得竞争的方法。

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