control.ss¶
- control.ss(*args)¶
Create a state space system.
The function accepts either 1, 4 or 5 parameters:
- ss(sys)
- Convert a linear system into space system form. Always creates a new system, even if sys is already a StateSpace object.
- ss(A, B, C, D)
Create a state space system from the matrices of its state and output equations:
- ss(A, B, C, D, dt)
Create a discrete-time state space system from the matrices of its state and output equations:
The matrices can be given as array like data types or strings. Everything that the constructor of numpy.matrix accepts is permissible here too.
Parameters: sys: StateSpace or TransferFunction
A linear system
A: array_like or string
System matrix
B: array_like or string
Control matrix
C: array_like or string
Output matrix
D: array_like or string
Feed forward matrix
dt: If present, specifies the sampling period and a discrete time
system is created
Returns: out: StateSpace
The new linear system
Raises: ValueError
if matrix sizes are not self-consistent
Examples
>>> # Create a StateSpace object from four "matrices". >>> sys1 = ss("1. -2; 3. -4", "5.; 7", "6. 8", "9.")
>>> # Convert a TransferFunction to a StateSpace object. >>> sys_tf = tf([2.], [1., 3]) >>> sys2 = ss(sys_tf)