Application of genetic algorithms in adaptive control systems design

机译：遗传算法在自适应控制系统设计中的应用

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The paper deals with direct searchless adaptive control systems design based on genetic algorithms application. Real number genotype coding is used in the paper. As a fitness function a greatest sum of absolute values of differences between plant step response and reference model step response a in a presence of plant parameters varying [BK1] is used. A method proposed is considered by the example of adaptive control system for double mass elastic electromechanical system.

机译：本文研究了基于遗传算法的直接无搜索自适应控制系统设计。本文使用实数基因型编码。作为适应度函数，使用存在[BK1]变化的植物参数时，植物阶跃响应和参考模型阶跃响应之间的差的绝对值的最大和。以双质量弹性机电系统的自适应控制系统为例，考虑了所提出的方法。

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《International Conference on Soft Computing and Measurements》|2017年|386-388|共3页
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K. V. Ignatiev; V. N. Sheludko; E. V. Serykh; T. L. Rusyaeva;
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Adaptive control; Genetic algorithms; Symmetric matrices; Mathematical model; Adaptation models; State feedback;

机译：自适应控制遗传算法对称矩阵数学模型适应模型状态反馈;

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4. Application of genetic algorithms in adaptive control systems design [C] . K. V. Ignatiev, V. N. Sheludko, E. V. Serykh, International Conference on Soft Computing and Measurements . 2017

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5. Multivariable adaptive control algorithms and applications to multi-machine power system stabilizer (PSS) design. [D] . Dai, Jiangjiang. 1995

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Application of genetic algorithms in adaptive control systems design

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