I have a linear system called "ss" identified using "velocity", "position", and "time_sec_" vectors imported from a CSV file.
Used time interval of 0.02, delay of 0.4, included disturbance.
The 3rd order system looks like this:
>> [A,B,C,D,K,x0,dA,dB,dC,dD,dx0] = idssdata(ss)
I want to simulate the system. It's SISO (velocity -> position) but because it's third order I have to duplicate the velocity three times, one for each system state variable.
U = velocity * ones(1, 3)
Here is what I am calling lsim with:
I attempt to simulate the system:
Matlab returns the following error:
Error using DynamicSystem/lsim
When simulating the response to a specific input signal, the input
data U must be a matrix with as many rows as samples in the time
vector T, and as many columns as input channels.
This error message doesn't make sense because:
- U has as many rows as time samples in time_sec_ vector
- U has as many columns as rows in "B" matrix in the model (third order model, B has 3 rows)
- time_sec_ vector has one row for each time sample
- Time samples are absolute values increasing in time, in seconds
