Documentation |
State-space data of identified system
[A,B,C,D,K]
= idssdata(sys)
[A,B,C,D,K,x0] = idssdata(sys)
[A,B,C,D,K,x0,dA,dB,dC,dD,dK,dx0] = idssdata(sys)
[A,B,C,D,K,___]
= idssdata(sys,j1,...,jN)
[A,B,C,D,K,___]
= idssdata(sys,'cell')
[A,B,C,D,K] = idssdata(sys) returns the A,B,C,D and K matrices of the identified state-space model sys.
[A,B,C,D,K,x0] = idssdata(sys) returns the initial state values, x0.
[A,B,C,D,K,x0,dA,dB,dC,dD,dK,dx0] = idssdata(sys) returns the uncertainties in the system matrices for sys.
[A,B,C,D,K,___] = idssdata(sys,j1,...,jN) returns data for the j1, ..., jn entries in the model array sys.
[A,B,C,D,K,___] = idssdata(sys,'cell') returns data for all the entries in the model array sys as separate cells in cell arrays.
sys |
Identified model. If sys is not an identified state-space model (idss or idgrey), then it is first converted to an idss model. This conversion results in a loss of the model uncertainty information. sys can be an array of identified models. |
j1,...,jN |
Integer indices of N entries in the array sys of identified systems. |
A,B,C,D,K |
State-space matrices that represent sys as: $$\begin{array}{l}x[k+1]=Ax[k]+Bu[k]+Ke[k];x[0]=x0;\\ y[k]=Cx[k]+Du[k]+e[k];\end{array}$$ If sys is an array of identified models, then A,B,C,D,K are multi-dimension arrays. To access the state-space matrix, say A, for the k-th entry of sys, use A(:,:,k). |
x0 |
Initial state. If sys is an idss or idgrey model, then x0 is the value obtained during estimation. It is also stored using the Report.Parameters property of sys. For other model types, x0 is zero. If sys is an array of identified models, then x0 contains a column for each entry in sys. |
dA,dB,dC,dD,dK |
Uncertainties associated with the state-space matrices A,B,C,D,K. The uncertainty matrices represents 1 standard deviation of uncertainty. If sys is an array of identified models, then dA,dB,dC,dD,dK are multi-dimension arrays. To access the state-space matrix, say A, for the k-th entry of sys, use A(:,:,k). |
dx0 |
Uncertainty associated with the initial state. dx0 represents 1 standard deviation of uncertainty. If sys is an array of identified models, then dx0 contains a column for each entry in sys. |