Matlab R2013a Invalid field name 'NumConStates'
I created a model in Matlab R2011a Simulink and it was working fine but now when i want to open it in Matlab R2013a Simulink I have this error.
Error in 'wahadlo/Subsystem/S-Function' while executing MATLAB S-function 'wahadlo_sfun', flag = 0 (initialize), at start of simulation.
Invalid field name 'NumConStates'.
I could't find any solution to this problem. Here's my Simulink Model
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Trying to discretize a continuous signal but I'm trying to plot the regular signal given roots
I need to plot out a function based on roots that I can use poly() to get the polynomial for. However, whenever I run the function, it gives me an error. I want to be able to fix the error so I can continue onto my further goals.
I need to plot the function with respect to the domain of time I provide, plot the function with respect to the sampling index nVec multiplied by the sampling rate deltaT, then plot the discrete signal. I am at a stop right now because I cannot plot the continuous signal (the first plot). It consistently gives me an error. I have tried changing the roots (rootsVec) from negative inclusion to purely positive so I can obtain the equation from poly() as well as put the sampling rate for the increment in time but to no avail.
function [tVec,nVec,xVec] = fxNthOrderPolyDTSignal(domainVec,noOfSamples,rootsVec) DSIntervals = noOfSamples - 1; deltaT = (max(domainVec) - min(domainVec))/DSIntervals; %time = input("Please input a specific time within the domain: "); nVec = min(domainVec)/deltaT; tVec = min(domainVec) + (nVec * deltaT); Eqtn = poly(rootsVec); x = linspace(domainVec(1),0.5,max(domainVec)); figure(1) plot(Eqtn(x),x) figure(2) plot(Eqtn,(nVec*deltaT)) end
The expected result is simply a plot of the the signal with the following input arguments: domainVec = [-10, 10] (this is the time where the signal exists);
noOfSamples = 30;
rootsVec = [-3, 8] (aka a second order polynomial);
The actual result is the following error: Array indices must be positive integers or logical values.
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