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
sysN to form the augmented
sys depicted below.
For systems with transfer functions
H1(s), . . . , HN(s),
the resulting system
sys has the block-diagonal transfer
For state-space models
sys2 with data
(A1, B1, C1, D1)
(A2, B2, C2, D2),
append(sys1,sys2) produces the following state-space
The input arguments
sysN can 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)
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.