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MPCPy

于 2020-11-23 发布 文件大小:14783KB
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  MPCPY是一个Python程序包，它有助于测试和实现用于构建系统的乘员集成模型预测控制（MPC）。该软件包侧重于使用数据驱动的、简化的物理或统计模型来预测建筑性能和优化控制。四个主要模块包含对象类来导入数据，与真实的或仿真的系统交互，估计和验证数据驱动的模型，并优化控制输入。(MPCPy is a python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input.)

文件列表：

MPCPy-master, 0 , 2018-05-04
MPCPy-master\.gitignore, 967 , 2018-05-04
MPCPy-master\README.md, 3305 , 2018-05-04
MPCPy-master\bin, 0 , 2018-05-04
MPCPy-master\bin\README.md, 716 , 2018-05-04
MPCPy-master\bin\runUnitTests.py, 4245 , 2018-05-04
MPCPy-master\doc, 0 , 2018-05-04
MPCPy-master\doc\README.md, 641 , 2018-05-04
MPCPy-master\doc\__init__.py, 1 , 2018-05-04
MPCPy-master\doc\uml, 0 , 2018-05-04
MPCPy-master\doc\uml\PlantUMLs.txt, 1898 , 2018-05-04
MPCPy-master\doc\userGuide, 0 , 2018-05-04
MPCPy-master\doc\userGuide\MPCPyUserGuide.pdf, 311952 , 2018-05-04
MPCPy-master\doc\userGuide\Makefile, 4111 , 2018-05-04
MPCPy-master\doc\userGuide\__init__.py, 1 , 2018-05-04
MPCPy-master\doc\userGuide\make.bat, 7270 , 2018-05-04
MPCPy-master\doc\userGuide\source, 0 , 2018-05-04
MPCPy-master\doc\userGuide\source\acknowledgements.rst, 751 , 2018-05-04
MPCPy-master\doc\userGuide\source\conf.py, 9601 , 2018-05-04
MPCPy-master\doc\userGuide\source\disclaimers.rst, 1089 , 2018-05-04
MPCPy-master\doc\userGuide\source\exodata.rst, 54 , 2018-05-04
MPCPy-master\doc\userGuide\source\gettingStarted.rst, 3968 , 2018-05-04
MPCPy-master\doc\userGuide\source\images, 0 , 2018-05-04
MPCPy-master\doc\userGuide\source\images\SoftwareArchitecture.png, 90478 , 2018-05-04
MPCPy-master\doc\userGuide\source\images\logo.png, 6540 , 2018-05-04
MPCPy-master\doc\userGuide\source\index.rst, 220 , 2018-05-04
MPCPy-master\doc\userGuide\source\introduction.rst, 4027 , 2018-05-04
MPCPy-master\doc\userGuide\source\license.rst, 3327 , 2018-05-04
MPCPy-master\doc\userGuide\source\models.rst, 50 , 2018-05-04
MPCPy-master\doc\userGuide\source\optimization.rst, 74 , 2018-05-04
MPCPy-master\doc\userGuide\source\systems.rst, 54 , 2018-05-04
MPCPy-master\doc\userGuide\source\testing.rst, 58 , 2018-05-04
MPCPy-master\doc\userGuide\source\units.rst, 46 , 2018-05-04
MPCPy-master\doc\userGuide\source\utility.rst, 54 , 2018-05-04
MPCPy-master\doc\userGuide\source\variables.rst, 92 , 2018-05-04
MPCPy-master\doc\userGuide\tutorial, 0 , 2018-05-04
MPCPy-master\doc\userGuide\tutorial\Constraints.csv, 1556 , 2018-05-04
MPCPy-master\doc\userGuide\tutorial\ControlSignal.csv, 1142 , 2018-05-04
MPCPy-master\doc\userGuide\tutorial\Parameters.csv, 152 , 2018-05-04
MPCPy-master\doc\userGuide\tutorial\Tutorial.mo, 2284 , 2018-05-04
MPCPy-master\doc\userGuide\tutorial\USA_IL_Chicago-OHare.Intl.AP.725300_TMY3.epw, 1648753 , 2018-05-04
MPCPy-master\doc\userGuide\tutorial\__init__.py, 1 , 2018-05-04
MPCPy-master\doc\userGuide\tutorial\introductory.py, 22244 , 2018-05-04
MPCPy-master\legal.txt, 893 , 2018-05-04
MPCPy-master\license.txt, 2433 , 2018-05-04
MPCPy-master\mpcpy, 0 , 2018-05-04
MPCPy-master\mpcpy\__init__.py, 1 , 2018-05-04
MPCPy-master\mpcpy\exodata.py, 69292 , 2018-05-04
MPCPy-master\mpcpy\models.py, 42818 , 2018-05-04
MPCPy-master\mpcpy\optimization.py, 34980 , 2018-05-04
MPCPy-master\mpcpy\systems.py, 9484 , 2018-05-04
MPCPy-master\mpcpy\units.py, 34106 , 2018-05-04
MPCPy-master\mpcpy\utility.py, 34084 , 2018-05-04
MPCPy-master\mpcpy\variables.py, 15008 , 2018-05-04
MPCPy-master\occupant, 0 , 2018-05-04
MPCPy-master\occupant\__init__.py, 424 , 2018-05-04
MPCPy-master\occupant\adaptive, 0 , 2018-05-04
MPCPy-master\occupant\adaptive\__init__.py, 268 , 2018-05-04
MPCPy-master\occupant\occupancy, 0 , 2018-05-04
MPCPy-master\occupant\occupancy\__init__.py, 234 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing, 0 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\README.md, 250 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\__init__.py, 187 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\adaptive_breakpoint_placement.py, 6942 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\interp1.py, 690 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\occupancy_prediction.py, 4932 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\parameter_inference.py, 782 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\parameter_inference_given_segments.py, 574 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\simulate_queue.py, 4333 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\temp.npy, 240 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\test_functions.py, 2917 , 2018-05-04
MPCPy-master\occupant\occupancy\queueing\unique_last.py, 532 , 2018-05-04
MPCPy-master\resources, 0 , 2018-05-04
MPCPy-master\resources\weather, 0 , 2018-05-04
MPCPy-master\resources\weather\BuildingsEPWReader.fmu, 791026 , 2018-05-04
MPCPy-master\resources\weather\WeatherProcessor_Dymola_v1.fmu, 1711019 , 2018-05-04
MPCPy-master\resources\weather\WeatherProcessor_JModelica_v2.fmu, 612063 , 2018-05-04
MPCPy-master\unittests, 0 , 2018-05-04
MPCPy-master\unittests\.err, 84 , 2018-05-04
MPCPy-master\unittests\__init__.py, 1 , 2018-05-04
MPCPy-master\unittests\outputs, 0 , 2018-05-04
MPCPy-master\unittests\outputs\model_parameters.txt, 2005 , 2018-05-04
MPCPy-master\unittests\references, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ConstraintFromCSV, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ConstraintFromCSV\collect_data.csv, 1127 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ConstraintFromDF, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ConstraintFromDF\collect_data.csv, 1127 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ConstraintFromOccupancyModel, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ConstraintFromOccupancyModel\collect_data.csv, 34691 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ControlFromCSV, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ControlFromCSV\collect_data.csv, 497 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ControlFromDF, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\ControlFromDF\collect_data.csv, 497 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\InternalFromCSV, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\InternalFromCSV\collect_data.csv, 1654 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\InternalFromOccupancyModel, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\InternalFromOccupancyModel\collect_data.csv, 38632 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\OtherInputFromCSV, 0 , 2018-05-04
MPCPy-master\unittests\references\test_exodata\OtherInputFromCSV\collect_data.csv, 134 , 2018-05-04

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  • Project1
    组态王驱动开发包，包含例子。这是本人吐血奉献！组态王是一款工控领域的自动化软件，这个开发包是要付费才能获得的(Kingview driver development kit, containing examples. This is my blood sacrifice! The Kingview is a field of industrial automation software, the development package to pay to get the)
    2013-04-10 11:03:08下载
    积分：1
  • dump1090-master
    非常好用岁的会回答哈诺要和我如何无任何添加(very good diao ya mei zhi bai)
    2017-06-13 07:53:10下载
    积分：1
  • 079HShield
    冒险岛079过hs补丁,真的很好用，一直都在用呢(Adventure Island 079 over HS patch)
    2019-02-18 00:41:06下载
    积分：1
  • caffeine
    现有的显着性检测方法使用图像作为输入，并且对前景/背景相似性，复杂背景纹理和遮挡敏感。我们探讨了使用光场作为显着性检测的输入的问题。(Existing saliency detection approaches use images as in-puts and are sensitive to foreground/background similari-ties, complex background textures, and occlusions. We ex-plore the problem of using light fields as input for saliency detection.)
    2018-02-23 18:53:49下载
    积分：1
  • GBSBEM
    适用于微小区的几何单反射椭圆模型的波达角、波达时间的代码(Code for the angle of arrival and the time of arrival of a geometric single reflection ellipse model in a microcell.)
    2018-10-14 19:42:16下载
    积分：1
  • GPS和INS联合导航matlab程序
    说明：  该程序为GNSS与IMU组合导航中常见的一种组合方案，(This program is a common combination scheme of GNSS and IMU)
    2020-08-23 14:08:17下载
    积分：1
  • 信号循环谱
    DSSS/BPSK循环谱检测程序以及对码元速率的估计(DSSS/BPSK cyclic spectrum detection program and estimation of symbol rate)
    2018-04-19 17:33:32下载
    积分：1
  • LRU
    说明：  LRU缓存淘汰策略，使用链表进行连接，里面有测试文件(LRU cache elimination strategy, using linked list for connection, with test files inside)
    2020-03-22 20:38:02下载
    积分：1
  • FAT32_SD-Interface-C-function
    在SD卡上实现FAT32文件系统，C实现，可程序结构清晰，简单易懂。里面还有一篇介绍FAT32文件系统的文档，学习代码之前，请耐心将pdf文档研读一遍，这样能达到事半功倍的效果(mplemented on the SD card FAT32 file system, C realized, program structure clear, simple and understandable. There is also a description of the document FAT32 file system, learning code, please be patient to read pdf documents again, so to achieve a multiplier effect。)
    2013-10-12 08:47:39下载
    积分：1
  • 手势识别
    说明：  卷积神经网络实现手势数字的识别（基于tensorflow）(Recognition of gesture numbers by convolutional neural network (based on tensorflow))
    2020-06-21 02:12:01下载
    积分：1
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