control.matlab.place¶
- control.matlab.place(A, B, p)¶
Place closed loop eigenvalues
K = place(A, B, p)
- Parameters
A (2D array_like) – Dynamics matrix
B (2D array_like) – Input matrix
p (1D array_like) – Desired eigenvalue locations
- Returns
K – Gain such that A - B K has eigenvalues given in p
- Return type
2D array (or matrix)
Notes
- Algorithm
This is a wrapper function for
scipy.signal.place_poles()
, which implements the Tits and Yang algorithm 1. It will handle SISO, MISO, and MIMO systems. If you want more control over the algorithm, usescipy.signal.place_poles()
directly.- Limitations
The algorithm will not place poles at the same location more than rank(B) times.
The return type for 2D arrays depends on the default class set for state space operations. See
use_numpy_matrix()
.References
- 1
A.L. Tits and Y. Yang, “Globally convergent algorithms for robust pole assignment by state feedback, IEEE Transactions on Automatic Control, Vol. 41, pp. 1432-1452, 1996.
Examples
>>> A = [[-1, -1], [0, 1]] >>> B = [[0], [1]] >>> K = place(A, B, [-2, -5])
See also
place_varga
,acker
Notes
The return type for 2D arrays depends on the default class set for state space operations. See
use_numpy_matrix()
.