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针对遗传算法的特点，提出一种用模糊控制的方法来调整交叉概率和变异概率的改进模糊遗传算法及其算法结构，并 将其应用于神经模糊控制器的综合优化设计。-For the characteristics of genetic algorithm, a method using fuzzy control to adjust the crossover probability and mutation probability of improving the fuzzy genetic algorithm
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线性二次最优控制加权阵遗传算法优化适应度函数m文件；模糊控制器量化比例因子遗传算法优化适应度函数m文件-Linear quadratic optimal control weighted array genetic algorithm fitness function m documents quantization scale factor of fuzzy controller optimized by GA fitness function m file
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< 控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB，侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模，控制系统的计算机辅助设计方法，包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传
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optimizing a fuzzy rule based PI controller with Genetic Algorithm
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optimization of a fuzzy rule based PI controller with using Genetic Algorithm
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基于遗传算法的模糊控制器优化设计，希望对大家有用！-Based on genetic algorithm optimization of fuzzy controller design, hope for all of us!
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一种基于遗传算法的自调整模糊PID控制器-Genetic algorithm based self-tuning fuzzy PID controller
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这是一篇关于分层分布式遗传算法的比较早的参考文献，于1996发表于Intellient Control ,IEEE检索；Arizona 大学Jinwoo Kim等人的研究成果。该论文详细介绍了分层分布式遗传算法的原理和设计理念、设计思路，接着用分层分布式遗传算法去优化模糊控制器，取得了很好的实际效果。-This is a hierarchical distributed genetic algorithm on the earlier references, published in 1996
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optimize the parameters of fuzzy controller-optimiztion of fuzzy proportional factor based on genetic algorithm
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基于量子遗传算法的倒立摆模糊控制器参数优化仿真程序-Quantum genetic algorithm based fuzzy controller for inverted pendulum simulation program optimization
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a design methodology is introduced that
blends the classical PID and the fuzzy controllers in an
intelligent way and thus a new intelligent hybrid
controller has been achieved. Basically, in this design
methodology, the classical PID and fuzz
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Adaptive fuzzy logic controller, genetic algorithm, linguistic hedge
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In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot
platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The
locomotion control structure is
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Binary genetic algorithm with fuzzy controller algorithm Matlab code
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运用分布补偿法和极点配置法设计模糊控制器，其中配置极点运用遗传算法优化-Using distributed compensation method and pole assignment method to design the fuzzy controller, using genetic algorithm to optimize configuration of pole
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设计单级倒立摆的品级模糊控制器。运用串级模糊控制器控制单级倒立摆，内环模糊控制器控制角度，外环模糊控制器控制位移，运用种群遗传算法优化两个模糊控制器的参数。-Grade of single-stage inverted pendulum fuzzy controller is designed.Cascade fuzzy controller is used to control a single inverted pendulum, the inner ring control Angle o
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