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?? predcstr.mdl

?? 神經網絡預測控制程序的源代碼
?? MDL
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# $Revision: 1.5.2.2 $
Model {
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  Version		  5.0
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  Created		  "Fri Oct 16 21:07:47 1998"
  Creator		  "munlock -all d:\\work\\myr12\\toolbox\\fuzzy\\fuzzy"
"\\mfedit.m"
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  LastModifiedBy	  "eyarrow"
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    Name		    "predcstr"
    Location		    [94, 141, 839, 460]
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    PaperOrientation	    "landscape"
    PaperPositionMode	    "auto"
    PaperType		    "usletter"
    PaperUnits		    "inches"
    ZoomFactor		    "100"
    ReportName		    "simulink-default.rpt"
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      Name		      "Clock"
      Position		      [600, 50, 620, 70]
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      BlockType		      SubSystem
      Name		      "More Info"
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	Annotation {
	  Name			  "This system simulates predictive control\no"
"f a continous stirred tank reactor."
	  Position		  [162, 22]
	}
	Annotation {
	  Name			  "Double-click on the NN Predictive Controlle"
"r block\nto set the controller parameters and train the plant model."
	  Position		  [162, 67]
	}
	Annotation {
	  Name			  "For more information on what the controller"
" \ndoes, look under the mask of the NN Predictive \nController block and look"
" at the S-function p_opt2.m."
	  Position		  [162, 122]
	}
      }
    }
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      Name		      "More Info2"
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      BlockType		      SubSystem
      Name		      "NN Predictive Controller"
      Ports		      [2, 1]
      Position		      [170, 35, 335, 170]
      BackgroundColor	      "cyan"
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      NamePlacement	      "alternate"
      OpenFcn		      "nncontrolutil('nnpredict','',gcbh,gcb);"
      TreatAsAtomicUnit	      off
      MaskType		      "NN Predictive Controller"
      MaskDescription	      "NN Predictive Controller.  You first train a ne"
"ural network model of the plant to be controlled.  The controller uses the pl"
"ant model to predict plant performance over a specified time horizon.  An opt"
"imization algorithm determines the control signal that optimizes plant perfor"
"mance over this horizon.  Double click the NN Predictive Controller block to "
"train the plant model and set the controller parameters."
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"(typically = 0.001)|Minimization rutine|maxiter|S1|Ni|Nj|sim_file|Training fu"
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亚洲欧美第一页_禁久久精品乱码_粉嫩av一区二区三区免费野_久草精品视频
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