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90 lines
3.8 KiB
90 lines
3.8 KiB
function [tt,sc1x,sc2x]=findCommonPoints(tt1,sc1,tt2,sc2,tt)
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% Regulate two series with different time steps tt1/tt2 to the same time steps tt
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%
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% FUNCTION findCommonPoints
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%
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% Author: Rui Yao <ruiyao@ieee.org>
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%
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% Copyright (C) 2021, UChicago Argonne, LLC. All rights reserved.
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%
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% OPEN SOURCE LICENSE
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%
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% Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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%
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% 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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% 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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% 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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%
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%
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% ******************************************************************************************************
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% DISCLAIMER
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%
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% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED
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% WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
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% PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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% DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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% PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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% CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
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% OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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% ***************************************************************************************************
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%
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% INPUT
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% tt1 - Time series 1
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% sc1 - State series corresponding to time steps tt1
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% tt2 - Time series 2
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% sc2 - State series corresponding to time steps tt2
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% tt - Regulated time series
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%
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% OUTPUT
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% tt - Regulated time series
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% sc1x - Regulated state series 1
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% sc2x - Regulated state series 2
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%
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sc1x=zeros(size(sc1,1),size(tt,2));
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sc2x=zeros(size(sc2,1),size(tt,2));
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tth=1e-8;
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for i=1:size(tt,2)
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idxttst=find(tt>=tt(i),1);
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idxtten=find(tt<=tt(i),1,'last');
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idx1st=find(tt1<=tt(i),1,'last');
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idx1en=find(tt1>=tt(i),1);
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if idx1st==idx1en
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sc1x(:,i)=sc1(:,idx1st);
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else
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if abs(tt1(idx1en)-tt1(idx1st))<tth
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if idxttst==idxtten
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sc1x(:,i)=(sc1(:,idx1st)+sc1(:,idx1en))/2;
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else
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idx1streal=min([idx1st,idx1en]);
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idx1enreal=max([idx1st,idx1en]);
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sc1x(:,i)=sc1(:,idx1streal+round((i-idxttst)*(idx1enreal-idx1streal)/(idxtten-idxttst)));
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end
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else
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sc1x(:,i)=(sc1(:,idx1st)*(tt1(idx1en)-tt(i))+sc1(:,idx1en)*(tt(i)-tt1(idx1st)))/...
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(tt1(idx1en)-tt1(idx1st));
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end
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end
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idx2st=find(tt2<=tt(i),1,'last');
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idx2en=find(tt2>=tt(i),1);
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if idx2st==idx2en
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sc2x(:,i)=sc2(:,idx2st);
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else
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if abs(tt2(idx2en)-tt2(idx2st))<tth
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if idxttst==idxtten
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sc2x(:,i)=(sc2(:,idx2st)+sc2(:,idx2en))/2;
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else
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idx2streal=min([idx2st,idx2en]);
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idx2enreal=max([idx2st,idx2en]);
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sc2x(:,i)=sc2(:,idx2streal+round((i-idxttst)*(idx2enreal-idx2streal)/(idxtten-idxttst)));
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end
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else
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sc2x(:,i)=(sc2(:,idx2st)*(tt2(idx2en)-tt(i))+sc2(:,idx2en)*(tt(i)-tt2(idx2st)))/...
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(tt2(idx2en)-tt2(idx2st));
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end
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end
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end
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end |