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Title: rlocus evaluation for a single gain value · Issue #1063 · python-control/python-control · GitHub

Open Graph Title: rlocus evaluation for a single gain value · Issue #1063 · python-control/python-control

X Title: rlocus evaluation for a single gain value · Issue #1063 · python-control/python-control

Description: I recall in the past being able to evaluate rlocus for a single gain to obtain the closed-loop poles (as well as plotting), along the lines of: L = tf([1,1],[1,2,3]) rr = rlocus(L, gains=np.array([1])) but this fails giving the final mes...

Open Graph Description: I recall in the past being able to evaluate rlocus for a single gain to obtain the closed-loop poles (as well as plotting), along the lines of: L = tf([1,1],[1,2,3]) rr = rlocus(L, gains=np.array([...

X Description: I recall in the past being able to evaluate rlocus for a single gain to obtain the closed-loop poles (as well as plotting), along the lines of: L = tf([1,1],[1,2,3]) rr = rlocus(L, gains=np.array([...

Opengraph URL: https://github.com/python-control/python-control/issues/1063

X: @github

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Domain: github.com


Hey, it has json ld scripts:
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og:image:altI recall in the past being able to evaluate rlocus for a single gain to obtain the closed-loop poles (as well as plotting), along the lines of: L = tf([1,1],[1,2,3]) rr = rlocus(L, gains=np.array([...
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