Description: ：运用动力学原理建立了小车-倒摆的仿真模型, 并以对象输入输出的测试数据为依据，讨
论了Takagi-Sugeno 模糊模型的参数辨识，提出了模糊逆模型控制方案，基于此借助Matlab 的
Simulink 设计了小车-倒摆的动态模型及其模糊自适应控制系统。仿真结果证明了本文采用的控制
策略的有效性。-: The use of dynamic theory to establish a car- inverted pendulum simulation model and the object input and output test data as the basis to discuss the Takagi-Sugeno fuzzy model parameter identification, the fuzzy inverse model control scheme, based on the use of Matlab Simulink design of the car- inverted pendulum dynamic model and the fuzzy adaptive control system. Simulation results show this paper, the effectiveness of the control strategy. Platform: |
Size: 247808 |
Author:daizhk |
Hits:
Description: 单输入单输出模型预测控制算法实现--一般实现，逆响应和线性规划-SISO model predictive control- a general approach, inverse response and linear programming Platform: |
Size: 4096 |
Author:Yao Chen |
Hits:
Description: 针对双输入双输出稳定过程,提出一种新的解耦内模控制设计方法。综合解耦和
稳态误差两方面因素,利用对象传递函数模型行列式的静态增益及次对角元素与同行相应主
对角元素之商的不合理部分(即不稳定极点和纯超前部分)的逆来设计控制器
-For the two-input dual-output stabilization process, a new decoupling internal model control design methods. Integrated decoupling and steady-state error of two factors, the use of the object transfer function model of the determinant of the static gain and sub-diagonal elements with the corresponding counterparts of the main diagonal elements of the irrational part of the business (ie the unstable poles and pure ahead in part) inverse to design controller Platform: |
Size: 147456 |
Author:mengxianghua |
Hits:
Description: 针对永磁同步电机运行中的混沌动态行为, 提出一类永磁同步电机混沌运动的逆系统控
制方法。通过多时间尺度变换, 将转子磁场定向坐标系下的永磁同步电机模型变换成一种简单的
无量纲模型。利用相图和分岔图, 分析永磁同步电机的混沌动态特性。在证明永磁同步电机混沌
系统可逆的基础上, 通过状态反馈构造出永磁同步电机混沌系统的逆系统, 将逆系统与原系统串
联, 组成伪线性复合系统, 该复合系统等效于一个二阶线性积分环节。采用线性综合方法设计闭环
控制器对永磁同步电机混沌系统进行控制。仿真结果表明该方法可实现永磁同步电机混沌系统对
参考转速的渐近跟踪, 控制系统的动、静态响应性能优良。-Permanent magnet synchronous motor for chaos in the dynamic behavior of a class of permanent magnet synchronous motors proposed chaotic motion of the inverse system control
System approach. Through a multi-time scale transformation, the rotor field oriented coordinate system of permanent magnet synchronous motor model is transformed into a simple
Platform: |
Size: 448512 |
Author:杨子江 |
Hits:
Description: 信息检索系统从最初的纯手工检索系统业已发展到现在的以信息技术为支撑的检索系统，在这一过程中，适应新的信息资源、信息技术这些检索环境，提高信息检索系统的查全率、查准率和系统响应时间是不变的主题，在众多文本中掌握最有效的信息始终是信息处理的一大目标。围绕向量空间模型设计了一个文本检索系统，介绍向量空间模型的基础上给出了基于它的信息检索系统的一般结构框架和各部分的功能，探讨了系统中所涉及到的关键技术。用向量空间模型进行特征表达，用TF-IDF(Term-Frequency Inverse-Document-Frequency)进行特征项赋权，用倒排文档进行索引，用余弦夹角进行距离度量，用查全率和查准率评价检索系统性能，并以向量空间模型及相关理论为基础对中文信息检索进行了一些探讨。向量空间模型需要解决特征项的生成和加权、相似度的计算（检索运算）等一系列问题。由于向量检索中采用的向量叫某种距离度量来反映文档的满足程度，所以相似度的值最好能与真实情况相符，计算简便。-Information retrieval system to retrieve from the first hand to the present system has been developed using information technology to support the retrieval system, in the process and adapt to new information resources, information technology, the search environment, improve information retrieval system recall , precision and system response time is the constant theme in many text information is always the most effective control is a major goal of information processing. Vector space model around a text retrieval system is designed to introduce the vector space model is given on the basis of its information retrieval system based on the general framework and functions of each part, of the system, the key technologies involved. The feature vector space model using the expression, with the TF-IDF (Term-Frequency Inverse-Document-Frequency) for feature items empowerment, with the inverted file indexing, with the cosine angle between the distance measurement, with recall and precision evalu Platform: |
Size: 713728 |
Author:Peng Jin |
Hits:
Description: 简单的PMSG与大家贡献
PMSM is made sensorless with the help of sliding modle observer--> This is model for Permanent magnet synchronous motor by using SVPWM
-> This is done using vector control technique
-> PMSM is made sensorless with the help of sliding modle observer
-> 3 PI controllers provide the speed regulation and followed by current reggulation
-> Conversions are done using park and inverse park transformations
-> please provide comments on this if you had doubt regarding this simulink model
---------------------------Thank you------------------
The more knowledge you share more you gain Platform: |
Size: 14720000 |
Author:oulin |
Hits:
Description: tf–idf, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus.[1]:8 It is often used as a weighting factor in information retrieval and text mining. The tf-idf value increases proportionally to the number of times a word appears in the document, but is offset by the frequency of the word in the corpus, which helps to control for the fact that some words are generally more common than others.
Variations of the tf–idf weighting scheme are often used by search engines as a central tool in scoring and ranking a document s relevance given a user query. tf–idf can be successfully used for stop-words filtering in various subject fields including text summarization and classification.
One of the simplest ranking functions is computed by summing the tf–idf for each query term many more sophisticated ranking functions are variants of this simple model.-tf–idf, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus.[1]:8 It is often used as a weighting factor in information retrieval and text mining. The tf-idf value increases proportionally to the number of times a word appears in the document, but is offset by the frequency of the word in the corpus, which helps to control for the fact that some words are generally more common than others.
Variations of the tf–idf weighting scheme are often used by search engines as a central tool in scoring and ranking a document s relevance given a user query. tf–idf can be successfully used for stop-words filtering in various subject fields including text summarization and classification.
One of the simplest ranking functions is computed by summing the tf–idf for each query term many more sophisticated ranking functions are variants of this simple model. Platform: |
Size: 17408 |
Author:adel |
Hits:
Description: 本文研究了常用型钢的数控下料工艺，在此基础上设计了一种能够适应各种规格型钢，且满足各种切割工艺需求的型钢切割机械手。在对其进行深入的运动学分析的基础上，建立了该机构的运动学正反解数学模型，以该数学模型为基础开发了该机械手的虚拟仿真系统。-In this paper,it studied the numerical control cutting craft to all kinds of steel materials,on this basis,a four degrees of freedom Steel Cutting Manipulator is designed that able to adapt to a variety of different-sized steel and meet the needs of a variety of cutting processes.On the basis of an in-depth analysis of kinematics, forward and inverse kinematics mathematical model of the structurel is established, based on this the mathematical model, virtual simulation system of the robot is developed . Platform: |
Size: 9216 |
Author:李静 |
Hits:
Description: 虚拟力的无线传感网络覆盖，IMC-PID是利用内模控制原理来对PID参数进行计算，IDW距离反比加权方法，对信号进行频谱分析及滤波，供做算法研究人员参考，相参脉冲串复调制信号。- Virtual power wireless sensor network coverage, The IMC- PID is using the internal model control principle for PID parameters is calculated, IDW inverse distance weighting method, The signal spectral analysis and filtering, Algorithm for researchers to do reference, Complex modulation coherent pulse train signal. Platform: |
Size: 7168 |
Author:przaj |
Hits:
Description: 多目标跟踪的粒子滤波器，包含位置式PID算法、积分分离式PID，有较好的参考价值，用于建立主成分分析模型，加入重复控制，微分方程组数值解方法，IDW距离反比加权方法。- Multi-target tracking particle filter, It contains positional PID algorithm, integral separate PID, There are good reference value, Principal component analysis model for establishing, Join repetitive control, Numerical solution of differential equations method, IDW inverse distance weighting method. Platform: |
Size: 10240 |
Author:twadcqg |
Hits:
Description: IDW距离反比加权方法，本程序的性能已经超过其他算法，通过matlab代码，本科毕设要求参见标准测试模型，快速扩展随机生成树算法，IMC-PID是利用内模控制原理来对PID参数进行计算，LCMV优化设计阵列处理信号。- IDW inverse distance weighting method, This program has exceeded the performance of other algorithms, By matlab code, Undergraduate complete set requirements refer to the standard test models, Rapid expansion of random spanning tree algorithm, The IMC- PID is using the internal model control principle for PID parameters is calculated, LCMV optimization design array signal processing. Platform: |
Size: 8192 |
Author:rvcmdivb |
Hits:
Description: IDW距离反比加权方法，进行逐步线性回归，正确率可以达到98％，包含CV、CA、Single、当前、恒转弯速率、转弯模型，双向PCS控制仿真，数学方法是部分子空间法，验证可用，微分方程组数值解方法。- IDW inverse distance weighting method, Stepwise linear regression, Accuracy can reach 98 , It contains CV, CA, Single, current, constant turn rate, turning model, Two-way PCS control simulation, Mathematics is part of the subspace, Verification is available, Numerical solution of differential equations method. Platform: |
Size: 8192 |
Author:pxxiwrr |
Hits:
Description: 各种资源分配算法实现，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，调试通过可以使用，IDW距离反比加权方法，插值与拟合，解方程，数据分析，IMC-PID是利用内模控制原理来对PID参数进行计算，matlab编写的元胞自动机，使用matlab实现智能预测控制算法。- Various resource allocation algorithm, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Debugging can be used, IDW inverse distance weighting method, Interpolation and fitting, solution of equations, data analysis, The IMC- PID is using the internal model control principle for PID parameters is calculated, matlab prepared cellular automata, Use matlab intelligent predictive control algorithm. Platform: |
Size: 4096 |
Author:dbacva |
Hits:
Description: 基于chebyshev的水声信号分析，IDW距离反比加权方法，IMC-PID是利用内模控制原理来对PID参数进行计算。- Based chebyshev underwater acoustic signal analysis, IDW inverse distance weighting method, The IMC- PID is using the internal model control principle for PID parameters is calculated. Platform: |
Size: 8192 |
Author:jangbaileng |
Hits:
Description: IDW距离反比加权方法，本程序的性能已经超过其他算法，通过matlab代码，本科毕设要求参见标准测试模型，快速扩展随机生成树算法，IMC-PID是利用内模控制原理来对PID参数进行计算，LCMV优化设计阵列处理信号。
- IDW inverse distance weighting method, This program has exceeded the performance of other algorithms, By matlab code, Undergraduate complete set requirements refer to the standard test models, Rapid expansion of random spanning tree algorithm, The IMC- PID is using the internal model control principle for PID parameters is calculated, LCMV optimization design array signal processing.
Platform: |
Size: 5120 |
Author:vymfvp |
Hits:
Description: Extreme-ANFIS: A Novel Learning Approach
for Inverse Model Control of Nonlinear Dynamical Systems Platform: |
Size: 2025472 |
Author:oo25101981 |
Hits:
Description: 以labview为平台实现的PI逆迟滞模型实现压电陶瓷的前馈逆控制,(Feedforward inverse control of piezoelectric ceramics by PI inverse hysteresis model) Platform: |
Size: 91136 |
Author:Pt03450 |
Hits:
Search - inverse model control