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
Domain: github.com
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| og:image:alt | 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([... |
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