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ek1f
- 该程序用扩展的Kalman滤波实现可非线性状态的估计。-With the expansion of the program realization of the Kalman filter may be non-linear state estimation.
targettrackingusingkalman
- The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topi
linear
- 倒立摆模型的局部线性化 设倒立摆的摆角范围为[-15,15]度，摆角角速度范围为[-200,200]度/秒，摆角角加速度范围为[-200,200]度/秒2，采用三角形隶属函数对摆角和摆角角速度进行模糊化，摆角初始状态为[0.2,0]。-Inverted pendulum model of the local linear-based inverted pendulum swinging angle of the range of [-15,15] degrees angle angular
singlestageinvertedpendulumsimulation
- 本文引入了基于扩展线性化的非线性反馈控制方法,推导了非线性状态反馈控制器的设计,并通过对单级倒立摆理想模型 的仿真过程中反映出该方法更接近系统实际情况的控制策略。-In this paper, based on the introduction of linear expansion of the nonlinear feedback control method, derived non-linear state feedback controller design, and throug
jidianpeizhi
- 广义线性系统的状态反馈和极点配置，很好的一个论文，希望对大家有用。-Descr iptor linear systems and the state feedback pole assignment, a very good paper, I hope useful for all of us.
Roweis_199NeuralComputation
- The Kalman filter30 is a minimum-variance filter in which time-series measurements are incorporated recursively into estimates of state variables it is the optimal, Bayesian least-squares estimator for linear dynamic systems.-The Kalman filte
matlab
- The main goal of this work is to provide a unified theory of QSTBCs for four transmit antennas and one (or more) receive antennas. The thesis consists of two main parts: In the first part we analyze the QSTBCs transmission without any channel kno
fuzzypid
- 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 fuzz
Linear-optimal-state-regulator
- 线性最优状态调节器，一阶系统，Riccati方程的求解-Linear optimal state regulator, first-order system, Riccati equation
On-State-Feedback-Control
- 状态反馈控制混沌系统 利用一种简单的线性状态反馈方法控制混沌运动 ,引导混沌系统稳定到失稳的平衡点或 周期轨道上 ,用劳斯2胡尔维茨稳定判据判定受控系统在平衡点处参数的取值范围 ,同时使用广义 Hamilton 系统理论的 Melnikov 方法分析受控系统的周期解. 通过对典型的混沌系统进行数值仿 真 ,证实了该控制方法的有效性.- A Linear state feedback control technique is used to guide the typical ch
Ljung--state-of-the-art_tdfd
- 系统识别大牛Ljung对最新时域和频域技术的总结，感兴趣的朋友可以看一看！-Identifi cation of time-invariant linear dynamic systems is a mature subject. In this contribution we focus on the interplay between methods that use time and frequency domain data, respectively.
Linear-system-theory--programming
- 3个小程序表现了线性系统理论课程的基本计算。包括：从I/O转化到状态空间等等。-The three small program performance of the basic calculation of the linear system theory courses. Include: conversion from the I/O into the state space.
linear-system-analysis
- 线性系统状态空间分析（包括分析系统可控，可观性，对系统进行非奇异线性变换，分析系统稳定性，绘制阶跃响应曲线），极点配置-The state space of the linear system analysis (including analysis system controllability, observability, non-singular linear transformation of the system, the analysis of the stability of th
The-state-space-of-linear-system
- 线性系统的状态空间分析与综合，程序均有详细注释-The state space of the linear system analysis and synthesis procedures have detailed notes
alphaBetaFilter
- The function alphaBetaFilter implements a generic algorithm for an alpha-beta filter that is a linear state estimation for position and velocity given an observed data. It acts like a smoothing. Also closely related to Kalman filters and to linear st
NLJ-optimization-algorithm
- 用于系统辨识的NLJ算法。适用于状态空间表示的非线性系统，用于系统参数的辨识。-NLJ algorithm for system identification. Applicable to non-linear state space representation used to estimate the system parameters.
Loeliger_factor_graph
- 消息传递算法用于信号处理的绝对经典之作，好好学习，天天向上-The message-passing approach to model-based signal processing is developed with a focus on Gaussian message passing in linear state-space models, which includes recursive least squares, linear minimum-mean-squared-
State_Space_Models_FEX
- State Space/ Kalman Filter Toolbox,Author: Marcelo Perlin / (PhD Student) / ICMA – Reading University,This toolbox was designed to simulate and fit linear state space models with the kalman filter approach. The main literature I used for this parti
Markov-jump-linear-systems
- A novel truncated approximation based algorithm for state estimation of discrete-time Markov jump linear systems
Magnetic
- A complete project based on linear state and output feedback theory.