Description: 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 and its algorithm structure, and applies a comprehensive neuro-fuzzy controller optimized. Platform: |
Size: 239616 |
Author:陆见 |
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Description: 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 Platform: |
Size: 4096 |
Author:张立迎 |
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Description: < 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、遗传算法优化控制等。本电子文档为其源码光盘内容，源码多多，利于学习参考。-"" Control System for Computer-Aided Design- MATLAB language and application of "" a systematic introduction to the international control of world s most popular computer-aided control system design language MATLAB, introduced the MATLAB language programming focusing on the foundation and skills, the MATLAB mathematical problem solving, computer-aided analysis of linear systems, control systems and other complex systems Simulink modeling, control system, computer-aided design methods, including serial controller, state feedback controller, multi-variable system, frequency-domain design, PID controller design, optimal controller design, LQG/LTR controller design, H2 = H1 optimal control, fractional order control, adaptive control, fuzzy control, neural network control, genetic algorithm to optimize control. This electronic document its source code CD-ROM content, source code lot, conducive to learning for reference. Platform: |
Size: 2137088 |
Author:任勇 |
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Description: 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! Platform: |
Size: 46080 |
Author:weipan |
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Description:
本文在分析城市交通信号控制研究现状和交叉口交通信号控制原理、评价方
法的基础上，设计了单交叉口交通信号两级模糊控制系统。分级模糊控制能有效
减少模糊规则数，易于提取模糊规则，适合于交通状况复杂的城市交叉口交通信
号控制。但它存在难以由人工合理定义全部模糊隶属度函数的问题。为此本文进
一步采用遗传算法对两级模糊控制器中模糊隶属度函数进行优化。本文提出的方
法具有分级模糊控制的优点，同时可以使模糊隶属度的选取更为合理，获得更好
的控制效果。对一个四相位单交叉口，利用MATLAB在不同的交通条件下进行
了仿真，并利用交通仿真软件PARAMICS进行了可视化仿真。仿真结果表明该
方法能有效降低通行车辆在交叉口的平均等待时间，明显优于传统控制方法-After analyzing the city-traffic developments,the grade crossings control theory
its method of evaluation,the paper designs a traffic signal two-stage fuzzy control
tem for single intersection.Two-stage fuzzy controller,which is easy to acquire
zy rules and can greatly decrease the number of fuzzy rules,is very suitable to
plex urban intersection control.But it still presents a difficulty for deciding all the
bership functions correctly only by human experience.Therefor,to solve this
blem,a technique using genetic algorithm to modify its fuzzy membership
ctions is proposed.This method not only possesses the advantages of hierarchical
zy control,but also can change its membership functions adaptively to an optimal
ing in different traffic situations as well,and in this way the currency power of the
an intersection is improved.For a single urban intersection with four-phase,
ulation of different traffic condition is processed by using MATLAB.Moreover,
ble simulation is proce Platform: |
Size: 312320 |
Author:刚子 |
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Description: 传统PID控制器通常难以满足多变量、非线性、强耦合的步进电机动态响应和精
确调速要求,结合传统PID控制和模糊控制及遗传算法(GA)整定PID参数的优点,设计基于
模糊遗传算法的实时自适应步进电动机PID控制器,充分发挥传统和智能控制策略各自的优
势。仿真结果表明,该实时自适应步进电动机PID控制器,具有很好的自适应能力和抗负载扰
动能力。在稳定性、动态速度响应诸方面均优于传统的PID控制器和模糊控制器,系统达到了
较高调速性能和控制精度。
-Traditional PID controller is often difficult to meet the multi-variable, nonlinear, strong coupling dynamics of stepping motor response and accurate speed control, combining the traditional PID control and fuzzy control and genetic algorithm (GA) 整 PID parameters set the advantages of the design based on fuzzy Adaptive genetic algorithm in PID controller, stepper motor, give full play to traditional and intelligent control their own advantages. Simulation results show that the real-time adaptive PID controller, stepper motor, has good adaptive ability and resistance to load disturbances. The stability of the dynamic speed response is superior to the traditional aspects of PID controller and fuzzy controller, the system reached a high speed performance and control precision. Platform: |
Size: 466944 |
Author:孙文 |
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Description: 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 in Intellient Control, IEEE retrieval Arizona University Jinwoo Kim and others research. The paper details the hierarchical distributed genetic algorithm theory and design, design ideas, then using hierarchical distributed genetic algorithm to optimize fuzzy controller achieved good practical results. Platform: |
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Author:haphan |
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Description: optimize the parameters of fuzzy controller-optimiztion of fuzzy proportional factor based on genetic algorithm Platform: |
Size: 3072 |
Author:零之兮 |
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Description: 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 fuzzy controller
have been combined by a blending mechanism that
depends on a certain function of actuating error.
Moreover, an intelligent switching scheme is induced
on the blending mechanism that makes a decision upon
the priority of the two controller parts namely, the
classical PID and the fuzzy constituents. The
simulations done on various processes using the new
hybrid fuzzy PID controller provides ‘better’ system
responses in terms of transient and steady-state
performances when compared to the pure classical PID
or the pure fuzzy controller applications. The controller
parameters are all tuned by the aid of genetic search
algorithm.-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 fuzzy controller
have been combined by a blending mechanism that
depends on a certain function of actuating error.
Moreover, an intelligent switching scheme is induced
on the blending mechanism that makes a decision upon
the priority of the two controller parts namely, the
classical PID and the fuzzy constituents. The
simulations done on various processes using the new
hybrid fuzzy PID controller provides ‘better’ system
responses in terms of transient and steady-state
performances when compared to the pure classical PID
or the pure fuzzy controller applications. The controller
parameters are all tuned by the aid of genetic search
algorithm. Platform: |
Size: 258048 |
Author:mohaideen |
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Description: Design of a graphical interface for NS-2
Study of sensors networks with Ad-hoc support
Implementation of Fuzzy controller inside Queue objects
Implementation of Genetic Routing inside NS-2 Platform: |
Size: 287744 |
Author:hassan |
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Description: 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 Platform: |
Size: 3072 |
Author:宣树人 |
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Description: 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 of the fuzzy controller, the outer ring control displacement of the fuzzy controller, the use of two population genetic algorithm to optimize fuzzy controller parameters. Platform: |
Size: 2048 |
Author:宣树人 |
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Search - genetic fuzzy controller