Optimisation of the weighting functions of an H_∞ controller using genetic algorithms and structured genetic algorithms

E. ALFARO-CID; E.W. MCGOOKIN; D.J. MURRAY-SMITH

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Optimisation of the weighting functions of an H_∞ controller using genetic algorithms and structured genetic algorithms

机译：使用遗传算法和结构遗传算法优化H_∞控制器的加权函数

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In this article, the optimisation of the weighting functions for an H_∞ controller using genetic algorithms and structured genetic algorithms is considered. The choice of the weighting functions is one of the key steps in the design of an H_∞ controller. The performance of the controller depends on these weighting functions since poorly chosen weighting functions will provide a poor controller. One approach that can solve this problem is the use of evolutionary techniques to tune the weighting parameters. The article presents the improved performance of structured genetic algorithms over conventional genetic algorithms and how this technique can assist with the identification of appropriate weighting functions' orders.

机译：在本文中，考虑了使用遗传算法和结构化遗传算法对H_∞控制器的加权函数进行优化。加权函数的选择是H_∞控制器设计中的关键步骤之一。控制器的性能取决于这些加权函数，因为选择不当的加权函数将提供较差的控制器。可以解决此问题的一种方法是使用进化技术来调整加权参数。本文介绍了结构遗传算法相对于常规遗传算法的改进性能，以及该技术如何帮助确定适当的加权函数的阶数。

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《International journal of systems science》 |2008年第4期|p.335-347|共13页
作者
E. ALFARO-CID; E.W. MCGOOKIN; D.J. MURRAY-SMITH;
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正文语种 eng
中图分类应用数学;自动化技术、计算机技术;
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Optimisation of the weighting functions of an H_∞ controller using genetic algorithms and structured genetic algorithms

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