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Kalman-master

于 2019-04-18 发布 文件大小:7084KB
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代码说明：

  kalman filtering for design based on bayesian model

文件列表：

Kalman-master, 0 , 2018-03-12
Kalman-master\.ipynb_checkpoints, 0 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Adaptive-Kalman-Filter-CV-checkpoint.ipynb, 365924 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Extended-Kalman-Filter-CTRA-checkpoint.ipynb, 537874 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Extended-Kalman-Filter-CTRV-checkpoint.ipynb, 501300 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-Bike-Lean-Angle-checkpoint.ipynb, 71895 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-CA-2-checkpoint.ipynb, 337573 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-CA-Ball-checkpoint.ipynb, 491480 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-CA-checkpoint.ipynb, 254758 , 2018-03-12
Kalman-master\.ipynb_checkpoints\Kalman-Filter-CV-checkpoint.ipynb, 210121 , 2018-03-12
Kalman-master\2014-02-14-002-Data.csv, 252234 , 2018-03-12
Kalman-master\2014-03-26-000-Data.csv, 1887196 , 2018-03-12
Kalman-master\2016-08-09-Motorbike.csv, 1791875 , 2018-03-12
Kalman-master\2016-09-12-Leaning.csv, 300160 , 2018-03-12
Kalman-master\2016-09-12-Leaning2.csv, 205668 , 2018-03-12
Kalman-master\Adaptive-Kalman-Filter-CV.ipynb, 365924 , 2018-03-12
Kalman-master\Adaptive-Kalman-Filter-CV.py, 10878 , 2018-03-12
Kalman-master\CTRV-Model.png, 6456 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV-Position.png, 52085 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV-State-Estimates.png, 104938 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV.ipynb, 403112 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV.kmz, 190056 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV.pdf, 112133 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CHCV.py, 16862 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRA-State-Estimates.png, 148466 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRA.ipynb, 537874 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRA.kmz, 135368 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRA.py, 21511 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV-State-Estimates.png, 115050 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV.ipynb, 501300 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV.kmz, 135375 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV.py, 22459 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV.slides.html, 650440 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV2.ipynb, 39280 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-CTRV2.py, 22089 , 2018-03-12
Kalman-master\Extended-Kalman-Filter-Step.png, 35265 , 2018-03-12
Kalman-master\Formulas, 0 , 2018-03-12
Kalman-master\Formulas\A-CTRV-Attitude.png, 14325 , 2018-03-12
Kalman-master\Formulas\G-CTRV-Attitude.png, 21925 , 2018-03-12
Kalman-master\Formulas\JA-CTRV-Attitude.png, 26717 , 2018-03-12
Kalman-master\Kalman-Filter-Bike-Lean-Angle.ipynb, 71895 , 2018-03-12
Kalman-master\Kalman-Filter-Bike-Lean-Angle.py, 5502 , 2018-03-12
Kalman-master\Kalman-Filter-CA-2.ipynb, 337573 , 2018-03-12
Kalman-master\Kalman-Filter-CA-2.py, 16053 , 2018-03-12
Kalman-master\Kalman-Filter-CA-2.slides.html, 537356 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Ball-StateEstimated.png, 93633 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Ball-Trajectory.png, 151706 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Ball.ipynb, 491480 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Ball.py, 16511 , 2018-03-12
Kalman-master\Kalman-Filter-CA-CovarianceMatrix.png, 10493 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Measurements.png, 33012 , 2018-03-12
Kalman-master\Kalman-Filter-CA-Position.png, 19188 , 2018-03-12
Kalman-master\Kalman-Filter-CA-RealMeasurements.py, 15349 , 2018-03-12
Kalman-master\Kalman-Filter-CA-StateEstimated.png, 37485 , 2018-03-12
Kalman-master\Kalman-Filter-CA.ipynb, 254758 , 2018-03-12
Kalman-master\Kalman-Filter-CA.py, 13310 , 2018-03-12
Kalman-master\Kalman-Filter-CV.ipynb, 210121 , 2018-03-12
Kalman-master\Kalman-Filter-CV.py, 11311 , 2018-03-12
Kalman-master\Kalman-Filter-CV.slides.html, 421550 , 2018-03-12
Kalman-master\Kalman-Filter-Step.png, 33917 , 2018-03-12
Kalman-master\README.md, 5091 , 2018-03-12
Kalman-master\car-model.dae, 98646 , 2018-03-12

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  • LFC-main
    说明：  负荷频率控制（LFC）是调整系统的频率达到额定值（如50HZ）或/和维持区域联络线交换功率为计划值。频率稳定是电力系统电能质量的一个重要指标。负荷的任意突然变化都有可能导致系统间联络线交换功率的偏差及系统频率的波动。因此，为保证电能质量，需要一个负荷频率控制(load frequency control,LFC)系统，该系统的目的是将系统频率维持在标称值并且尽可能使控制区域之间的未计划的联络线交换功率最小。(Load frequency control (LFC) is to adjust the frequency of the system to reach the rated value (such as 50 Hz) or / and maintain the exchange power of the regional tie line to the planned value. Frequency stability is an important index of power quality in power system. Any sudden change of load may lead to the deviation of power exchange between tie lines and the fluctuation of system frequency. Therefore, in order to ensure the power quality, a load frequency control (LFC) system is needed. The purpose of the system is to maintain the system frequency at the nominal value and minimize the unplanned tie line exchange power between the control areas.)
    2021-03-17 19:38:19下载
    积分：1
  • gcv
    gcv.m GCV准则。。。。。。。。。。。。。(gcv.m GCV principle....................)
    2010-07-12 20:43:50下载
    积分：1
  • lunwen2
    matlab在计算科学，自然科学，社会科学等多方面都有很多应用，本文以matlab为工具，主要研究它在处理语音信号方面的应用。(matlab in computational science, natural science, social science and other aspects have many applications, this paper matlab as a tool in dealing with the major study of its application of voice signals.)
    2010-05-09 12:42:18下载
    积分：1
  • passband_psd
    matlab绘制带通系统函数的功率谱，不是信号的功率谱(The power spectrum band-pass system function)
    2013-05-07 06:12:07下载
    积分：1
  • MatlabForControlSystem
    本书介绍了matlab在控制系统中的使用，涉及matlab的基本操作及系统的频谱分析、状态空间分析等内容(This book describes the matlab use in the control system, the content spectrum analysis involves matlab basic operations and systems, state space analysis, etc.)
    2014-01-16 23:29:38下载
    积分：1
  • ofdm_phy
    Broadband Access Scenario 使用学习方法来进行无线链路的自适应，包含信道编码，交织，信道建模，ofdm调制，解码，解交织，解调等等， 一个完整的无线物理层试验环境(Broadband Access Scenario for the use of learning methods of adaptive wireless links, including channel coding, interleaving, channel modeling, ofdm modulation, decoding, deinterleave, demodulation, etc., a complete test environment for wireless physical layer)
    2008-05-12 17:07:29下载
    积分：1
  • project2
    this source code is useful to do cdma simulation in awgn channel..
    2011-02-01 13:32:09下载
    积分：1
  • zyhMATLAB
    matlab编程，最优化算法的二十个小例子，希望对大家有用。(matlab programming, optimization algorithms for 20 small example, we want to be useful.)
    2010-05-06 10:47:28下载
    积分：1
  • digital-filter-using-simulink
    本文阐述了matlab/simulink在数字滤波器上的应用，利用simulink设计数字滤波器(This paper describes the Matlab/Simulink digital filter using simulink design of digital filters)
    2012-05-18 20:09:26下载
    积分：1
  • AlsPSwarn-Intelligence
    Very informative Artificial life simulation lectures at IIITA and sworn intelligence presentations at IIITA.
    2014-09-20 19:50:47下载
    积分：1
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