Place closed loop eigenvalues.
K = place(A, B, p)
Dynamics matrix.
Input matrix.
Desired eigenvalue locations.
Gain such that A - B K has eigenvalues given in p.
Notes
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, use scipy.signal.place_poles directly.
Limitations: The algorithm will not place poles at the same location more than rank(B) times.
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 = ct.place(A, B, [-2, -5])
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