Group models by appending their inputs and outputs
sys = append(sys1,sys2,...,sysN)
sys = append(sys1,sys2,...,sysN) appends
the inputs and outputs of the models
form the augmented model
sys depicted below.
For systems with transfer functions H1(s), . . . , HN(s),
the resulting system
sys has the block-diagonal
For state-space models
data (A1, B1, C1, D1)
and (A2, B2, C2, D2),
the following state-space model:
The input arguments
be model objects s of any type. Regular matrices are also accepted
as a representation of static gains, but there should be at least
one model in the input list. The models should be either all continuous,
or all discrete with the same sample time. When appending models of
different types, the resulting type is determined by the precedence
rules (see Rules That Determine Model Type for details).
There is no limitation on the number of inputs.
Create a SISO transfer function.
sys1 = tf(1,[1 0]); size(sys1)
Transfer function with 1 outputs and 1 inputs.
Create a SISO continuous-time state-space model.
sys2 = ss(1,2,3,4); size(sys2)
State-space model with 1 outputs, 1 inputs, and 1 states.
Append the inputs and outputs of
sys1, a SISO static gain system, and
sys2. The resulting model should be a 3-input, 3-output state-space model.
sys = append(sys1,10,sys2) size(sys)
sys = A = x1 x2 x1 0 0 x2 0 1 B = u1 u2 u3 x1 1 0 0 x2 0 0 2 C = x1 x2 y1 1 0 y2 0 0 y3 0 3 D = u1 u2 u3 y1 0 0 0 y2 0 10 0 y3 0 0 4 Continuous-time state-space model. State-space model with 3 outputs, 3 inputs, and 2 states.