function varargout = pe(varargin) [lhs,rhs] = argn(0) //------------------------------------------------------------------------------ data = varargin(1) model = varargin(2) if rhs == 3 then kStep = varargin(3) elseif rhs == 2 then kStep = 1 end //------------------------------------------------------------------------------ // k step analysis if typeof(kStep) <> 'constant' || isnan(kStep) then error(msprintf(gettext("%s:Prediction horizon(k) must be a non-negative integer number or inf.\n"),"pe")) end // if given k step is infinity or [] if isinf(kStep) || ~size(kStep,'*') then kStep = 1 end // checking the dimensions if size(kStep,'*') <> 1 || (ceil(kStep)-kStep) then error(msprintf(gettext("%s:Prediction horizon(k) must be a non-negative integer number or inf.\n"),"pe")) end //------------------------------------------------------------------------------ // checking the plant model if typeof(model) ~= 'idpoly' then error(msprintf(gettext("%s:Plant model must be ""idpoly"" type.\n"),"pe")) end modelSampleTime = model.Ts modelTimeUnit = model.TimeUnit //------------------------------------------------------------------------------ //checking the data type if typeof(data) <> 'iddata' && typeof(data) <> 'constant' then error(msprintf(gettext("%s:Sample data must be ""iddata"" type or ""n x 2"" matrix type.\n"),"pe")) end // checking the plant data if typeof(data) == 'iddata' then if ~size(data.OutputData,'*') || ~size(data.InputData,'*') then error(msprintf(gettext("%s:Number of sample data in input and output must be equal.\n"),"pe")) end plantSampleTime = data.Ts plantTimeUnit = data.TimeUnit data = [data.OutputData data.InputData] //disp('iddata') elseif typeof(data) == 'constant' then if size(data,'c') ~= 2 then error(msprintf(gettext("%s:Number of sample data in input and output must be equal.\n"),"pe")) end plantSampleTime = model.Ts plantTimeUnit = model.TimeUnit end //------------------------------------------------------------------------------ // comparing the sampling time if modelSampleTime-plantSampleTime <> 0 then error(msprintf(gettext("%s:The sample time of the model and plant data must be equal.\n"),"pe")) end // Comparing the time units if ~strcmp(modelTimeUnit,plantTimeUnit) then else error(msprintf(gettext("%s:Time unit of the model and plant data must be equal.\n"),"pe")) end //------------------------------------------------------------------------------ sampleLength = size(data,'r') // one step ahead prediction [y1 ,x0] = predict(data,model) errorData1 = data(:,1)-y1 if kStep == 1 then eCapData = errorData1 elseif kStep > 1 then aPoly = poly(model.a,'q','coeff'); dPoly = poly(model.d,'q','coeff'); adCoeff = coeff(aPoly*dPoly);adCoeff = adCoeff(length(adCoeff):-1:1); adPoly = poly(adCoeff,'q','coeff') cCoeff = model.c;cCoeff = cCoeff(length(cCoeff):-1:1); cPoly = poly(cCoeff,'q','coeff') hBar = clean((ldiv(cPoly,adPoly,kStep))',0.00001) hBar = hBar(length(hBar):-1:1) hBarLength = length(hBar) errorData1 = [zeros(hBarLength,1);errorData1] eCapData = [] for ii = 1:sampleLength+1 eCapData = [eCapData; hBar*errorData1(ii:ii+hBarLength-1)] end end timeData = (modelSampleTime:modelSampleTime:(sampleLength)*modelSampleTime)' pseudoData = size(eCapData,'r') eCapData = eCapData(abs(pseudoData-sampleLength)+1:$) //pause if lhs == 1 then clf() plot(timeData,eCapData) axisData = gca() tempTimeUnit = 'Time('+modelTimeUnit+')' xtitle('Predicted Response',tempTimeUnit,'y') xgrid //pause varargout(1) = 0 elseif lhs == 2 then varargout(1) = eCapData varargout(2) = 0 elseif lhs == 3 then varargout(1) = eCapData varargout(2) = timeData varargout(3) = 0 end endfunction