Description: 建立了一级倒立摆的状态空间模型，并采用LQR实现了稳定控制。-establishment of an inverted pendulum of state space models, and the use of LQR achieve stability control. Platform: |
Size: 1024 |
Author:jiangsx |
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Description: this demo is to show you how to implement a generic SIR (a.k.a. particle, bootstrap, Monte Carlo) filter to estimate the hidden states of a nonlinear, non-Gaussian state space model.-this demo is to show you how to implement a ge neric SIR (a.k.a. particle, the bootstrap. Monte Carlo) filter to estimate the hidden stat es of a nonlinear. non-Gaussian state space model. Platform: |
Size: 6144 |
Author:大辉 |
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Description: PMSM直接转矩控制系统的空间辨识,辨识出系统介次,和状态空间模型,从而调节控制器参数-PMSM Direct Torque Control System Identification, identify system Kaiji, and the state-space model, adjust the controller parameters Platform: |
Size: 4096 |
Author: |
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Description: To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm. -To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm. Platform: |
Size: 40960 |
Author:Lin |
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Description: 电力牵引电机控制，设计的目的是用MatLab得到系统的状态空间模型，计算系统的传递函数。并预测系统的阶跃响应，并判断系统是否能控和能观。-Electric traction motor control, is designed to be used MatLab system state space model to calculate the system transfer function. And predict the system step response and determine whether the system is able to control and observability. Platform: |
Size: 39936 |
Author:王宇飞 |
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Description: T形桥接网络是一种常用的滤波网络中，用MatLab求其状态空间模型，画出该电路的零——极点图。-T-shaped bridge network is a kind of filter commonly used network, use MatLab for its state-space model, draw the circuit zero- Pole map. Platform: |
Size: 15360 |
Author:王宇飞 |
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Description: 转载：众所周知有限元解决振动问题的能力还是有限的, 比如做齿轮啮合过程的动力学模拟就要同时涉及到接触和动力反映两个主要方面. 目前处理此类问题最成熟的软件当属MSC.ADAMS, 但ADAMS也只能在模拟过程中做到弹性与刚性接触而已! 据我所知, 已不止两位研究生试图用LS-DYNA来做此类模拟, 他们忽略了(或没搞清楚) LS-DYNA只能处理瞬态问题, 而对于该过程的模拟也是无能为力的!!! 结果是浪费了大量的时间, 甚至机会. 这本应是导师的责任, 但许多高龄导师对现代软件的不熟悉也是....那么此类问题的具体解决方案在哪里? Vibration Simulation Using Matlab and ANSYS 给出了答案. 掌握书中的内容意义非同小可! 这对于要从事CAE工作的将会受益(起码在今后20年内).随着我国经济的高速发展 解决资本积累必将是要遇到的问题, 工程(设备)维护, 系统监测也将(象发达国家)成为CAE非常重要的部分. 早早入手就能使你立于不败之地!-This book has three main purposes. The first purpose is to cc..-ct in one
document the various methods of constructing and representing dynamic
mechanical models. The second purpose is to help the reader develop a strong
understanding of the modal analysis technique, where the total response of a
system can be constructed by combinations of individual modes of vibration.
The third purpose is to show how to take the results of large finite element
models and reduce the size of the model (model reduction), extracting lower
order state space models for use in MATLAB. Platform: |
Size: 7908352 |
Author:何红亚 |
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Description: The state space model is nonlinear and is input to the function along with the current measurement. The function performs the extended Kalman filter update and returns the estimated next state and error covariance
MATLAB 7.6 (R2008a) Platform: |
Size: 1024 |
Author:Rafal |
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Description: 粒子滤波器是通过蒙特卡罗模拟来实现递归贝叶斯滤波，它不需要线性、高斯噪声的假设，适用于任何能用状态空间模型表示的非线性系统，比卡尔曼滤波器的适用范围广。这里给出了几个粒子滤波的matlab编程实例。-Particle filters are using Monte Carlo simulations to achieve the recursive Bayesian filtering, it does not require linear, Gaussian noise assumptions, can be used for any state-space model of nonlinear systems .It has a wider scope application than the Kalman filter . Here are a few examples of particle filter matlab programming. Platform: |
Size: 11264 |
Author:郑玉凤 |
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Description: The state space model is nonlinear and is input to the function along with the current measurement. The function performs the extended Kalman filter update and returns the estimated next state and error covariance Platform: |
Size: 1024 |
Author:sofi |
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Description: 一种基于运动模型的扩展卡尔曼滤波（EKF）算法,该方法适用于任何能用状态空间模型表示的非线性系统，精度可以逼近最优估计.-an EKF positioning and tracking algorithm based on kinematic model. This method can apply to any state-space model which is the nonlinear system, and the accuracy can approach to best of all. Platform: |
Size: 4096 |
Author:yang |
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Description: 书名：现代控制引论教程 Matlab辅助实验
本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。
-Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters:
Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model
Chp3 is the system state analysis
Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods
Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc.
Chp7 describes the basic method of optimal control- minimum principle and dynamic programming
Chp8 and 9, respectively, on control theory The two branches: the state of stochastic Platform: |
Size: 1790976 |
Author:商志远 |
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Description: HVDC Light连续时间状态空间模型的Matlab仿真-HVDC Light continuous time state space model of the Matlab simulation Platform: |
Size: 21504 |
Author:cjw |
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Description: 有注释的粒子滤波程序。粒子滤波(PF: Particle Filter)的思想基于蒙特卡洛方法(Monte Carlo methods)，它是利用粒子集来表示概率，可以用在任何形式的状态空间模型上。-Annotated particle filter program. Particle filter (PF: Particle Filter) Monte Carlo method based on the idea (Monte Carlo methods), which is set to represent the probability of a particle can be used in any form of state space model. Platform: |
Size: 1024 |
Author:xiaobaiamao |
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Description: 1. 建立倒立摆系统的状态空间模型和传递函数模型。
2. 对倒立摆系统设计控制器
利用MATLAB GUI设计，系统的参数（诸如小车质量、小杆质量、小杆长度等参数）由用户设定，最终的阶跃响应以图形效果展示出来，并给出控制器的参数（K_p、K_i和K_d）。(1. Establish the state space model and transfer function model of the inverted pendulum system.
2. Design controller for inverted pendulum system) Platform: |
Size: 17408 |
Author:吨吨吨416 |
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Search - State space Model matlab