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状态空间模型 加强ＭＡＴＬＡＢ学习 很有用的
-state-space model to strengthen MATLAB very useful learning
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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*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..
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预测模型为状态空间模型预测函数控制MATLAB程序，包括一阶、二阶、高阶跟踪阶跃，斜坡-Prediction model for the state space model predictive functional control MATLAB procedures, including first, second, high-tracking step, ramp
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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
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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
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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
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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.
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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)
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这个一个完好无损的matlab程序，他实现的功能是进行扩展开尔曼滤波，是本人亲自制造的，哈哈，哈哈哈，-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
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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
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Matlab对kalman状态空间模型估计-Matlab on the state space model to estimate kalman
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state space model - john aston
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同步电机状态空间模型，采用matlab S函数-synchronous machine state space model using matlab S-function
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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 al
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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 r
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多输入多输出系统的状态空间simulink模型，可以直接在里面修改运行获得阶跃响应-MIMO viarieble system with state space model
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基于Simulink/Matlab的同步发电机模型。应用状态空间方程组等，从原理出发搭建，而非直接使用Simulink中已有的模型。-Based on Simulink/Matlab synchronous generator model. Application of state-space equations, etc., starting from the principle of construction, rather than directly using the existing
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MATLAB PROGRAM TO CONVERT STATE SPACE MODEL TO TF AND VICE VERSA-MATLAB PROGRAM TO CONVERT STATE SPACE MODEL TO TF AND VICE VERSA
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MATLAB PROGRAM FOR FINDIDG SOLUTION OF STATE SPACE MODEL
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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
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