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伺服系统模拟数据集,包括伺服放大器、电机、丝杠/螺母和某种滑动托架

伺服系统模拟数据集,包括伺服放大器、电机、丝杠/螺母和某种滑动托架

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Computer Regression

Creator:Karl Ulrich (MIT)Donor: Ross QuinlanData Set Information:Ross Quinlan:This data was given to me by Karl Ulrich a......

数据结构 ? 2.39K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Creator:

    Karl Ulrich (MIT)

    Donor:

    Ross Quinlan


    Data Set Information:

    Ross Quinlan:

    This data was given to me by Karl Ulrich at MIT in 1986.  I didn't record his description at the time, but here's his subsequent (1992) recollection:

    "I seem to remember that the data was from a simulation of a servo system involving a servo amplifier, a motor, a lead screw/nut, and a sliding carriage of some sort.  It may have been on of the translational axes of a robot on the 9th floor of the AI lab.  In any case, the output value is almost certainly a rise time, or the time required for the system to respond to a step change in a position set point."

    (Quinlan, ML'93)

    "This is an interesting collection of data provided by Karl Ulrich.  It covers an extremely non-linear phenomenon - predicting the rise time of a servomechanism in terms of two (continuous) gain settings and two (discrete) choices of mechanical linkages."


    Attribute Information:

    1. motor: A,B,C,D,E
      2. screw: A,B,C,D,E
      3. pgain: 3,4,5,6
      4. vgain: 1,2,3,4,5
      5. class: 0.13 to 7.10


    Relevant Papers:

    Quinlan, J.R., "Learning with continuous classes", Proc. 5th Australian Joint Conference on AI (eds A. Adams and L. Sterling), Singapore: World Scientific, 1992
    [Web link]

    Quinlan, J.R., "Combining instance-based and model-based learning", Proc. ML'93 (ed P.E. Utgoff), San Mateo: Morgan Kaufmann 1993
    [Web link]



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