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Description: 基于模糊的最小支持响亮机,用来分类效果比一些常用的要好很多.-based on fuzzy loud support of the smallest machines, used classification results than some frequently used a lot nicer.
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Size: 1405 |
Author: fujiewei |
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Size: 310272 |
Author: 跃进 |
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Description: 基于模糊的最小支持响亮机,用来分类效果比一些常用的要好很多.-based on fuzzy loud support of the smallest machines, used classification results than some frequently used a lot nicer.
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Size: 1024 |
Author: fujiewei |
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Description: The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. -The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.
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Size: 69632 |
Author: Alice |
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Description: 利用Matlab求解带有时间延迟的Mackey-Glass系统，在非线性动力学中经常用到。可以用来求解类似的延迟微分方程系统。-using Matlab time delay with the Mackey-Glass Systems, Nonlinear Dynamics frequently used. Can be used to solve the differential equation similar to the delayed system.
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Size: 1024 |
Author: 贾强 |
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Description: 使用模糊神经网络实现非线性函数映射，直接在matlab中运行即可。-Realize the use of fuzzy neural network nonlinear function mapping, directly in matlab can run.
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Size: 2048 |
Author: 王元 |
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Description: 本书首先介绍了MATLAB 语言的程序设计的基本内容，在此基础上系统介绍了各个应用数
学领域的问题求解，如基于MATLAB 的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。-The book begins with the introduction of the MATLAB programming language, the basic content, on the basis of the system introduced in all areas of applied mathematics problem solving, such as MATLAB-based calculus problems, linear algebra to solve computer problems, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problems, data interpolation and function approximation problem, Probability Theory and Mathematical Statistics Analytical Solution and Numerical Solution of such. Also introduce a relatively new non-traditional methods such as fuzzy logic and fuzzy reasoning, neural networks, genetic algorithms, wavelet analysis, rough sets and fractional calculus and other fields.
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Size: 797696 |
Author: gongyl |
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Description: 用模糊神经网络逼近二维非线性函数，Matlab文件，附有说明文件。-Using fuzzy neural network approximation of two-dimensional nonlinear function, Matlab files, accompanied by documentation.
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Size: 464896 |
Author: 邵巍 |
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Description: 有关非线性辨识的一些文章，包括模糊辨识，最小二乘辨识等等，还不错，需要做这方面的同学看看吧-Nonlinear Identification of some of the relevant article, including the fuzzy identification, least squares identification, etc., is also true that the need for students to do in this area take a look at it
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Size: 4654080 |
Author: 安然 |
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Description: 基于TS模糊模型的二级倒立摆系统仿真研究-Based on TS Fuzzy Model of Double Inverted Pendulum System Simulation
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Size: 2603008 |
Author: zsx |
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Description: 基于T-s模糊模型用于估计非线性系统的状态的kalman滤波器。-Ts-based fuzzy model used to estimate the state of nonlinear systems kalman filter.
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Size: 7168 |
Author: 王新 |
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Description: 针对传统PID控制器参数整定不易的局限性，将模糊控制与PID相结合，构造了一个模糊自整定PID控制器-Traditional PID controller parameter tuning is not easy the limitations of the fuzzy control and PID combination structure of a fuzzy self-tuning PID controller
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Size: 254976 |
Author: 周洪 |
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Description: These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected to an infinite bus is developed in the Simulink environment. A fuzzy Power System Stabilizer is designed using the fuzzy logic toolbox of matlab and its parameters are tuned by a NEural Network controller.
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Author: al-amin |
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Description: 关于神经网络非线性系统的辨识，模糊控制器等程序。-With regard to neural network, nonlinear system identification, fuzzy controller and other procedures.
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Size: 3072 |
Author: 艾丽萍 |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program
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Author: jshuska |
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Description: 摘要:由于步进电动机调速系统具有非线性等特点,使得利用简单模糊控制与传统PID控制精度不高,因此文中提出利用模
糊PID控制器实现对步进电动机调速系统进行控制的方法,并设计了模糊PID控制器。文中首先建立了步进电动机的数学
模型,并根据数学模型推导了其传递函数 然后介绍了模糊PID控制器结构,以及模糊控制规则的生成方法,并且对该控制
方案进行数字仿真。仿真结果表明:该方法调节精度较高,动态响应快,无超调,有一定的可行性。
-Abstract: As the stepper motor drive system has nonlinear characteristics, which make use of simple fuzzy control with traditional PID control accuracy is not high, so this paper proposes to use fuzzy PID controller of the stepper motor drive system control, fuzzy PID controller was designed. At first the mathematical model of the stepping motor, and derived a mathematical model and its transfer function then describes the structure of fuzzy PID controller, and fuzzy control rule generation method, and digital simulation of the control program. Simulation results show that: the method to adjust the high accuracy, fast dynamic response, no overshoot, there is certainly feasible.
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Size: 138240 |
Author: 孙文 |
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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.
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Size: 466944 |
Author: 孙文 |
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Description: Inthispapz, design, simulation and experimental verification
of a self-leaning tizzy logic controller (SLFLC) snitahle for control of
nonlinear SCNO sys ma are described. The SLFLC contains a leaning
algorithm that udlizes a second-order reference made1 and a sensitivity
mcdel related to the fuzzy controller parameters. The effectiveness of the
proposed controller has been tested in tbe position control loops of two
chopper-fed dc servo systems, frst by simulation in the presence of a
backlash nonlinearity, then by experiment in the presence of a gravity.
dependent shaft load and fairly high static friction. The simulation and
expimental results have proved that the SLFLC provides desired closedloop
behavior and eliminates a steady-state position mar.
Keywords: Fuzzy Systems, Fuuy Control, Sensitivity Model,- Inthispapz, design, simulation and experimental verification
of a self-leaning tizzy logic controller (SLFLC) snitahle for control of
nonlinear SCNO sys ma are described. The SLFLC contains a leaning
algorithm that udlizes a second-order reference made1 and a sensitivity
mcdel related to the fuzzy controller parameters. The effectiveness of the
proposed controller has been tested in tbe position control loops of two
chopper-fed dc servo systems, frst by simulation in the presence of a
backlash nonlinearity, then by experiment in the presence of a gravity.
dependent shaft load and fairly high static friction. The simulation and
expimental results have proved that the SLFLC provides desired closedloop
behavior and eliminates a steady-state position mar.
Keywords: Fuzzy Systems, Fuuy Control, Sensitivity Model,
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Size: 378880 |
Author: Nada Mustafa |
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Description: 排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。
遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。-Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem.
Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co
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Size: 1290240 |
Author: 张林杰 |
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Description: This addresses the use of ANFIS function in the Fuzzy Logic Toolbox for nonlinear dynamical system identification. This
also requires the System Identification Toolbox, as a comparison is made between a nonlinear ANFIS and a linear ARX model.
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Author: manoj |
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