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1 parent fdd399f commit 0d4ff4cCopy full SHA for 0d4ff4c
control/statefbk.py
@@ -277,7 +277,7 @@ def lqe(*args, **keywords):
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The lqe() function computes the observer gain matrix L such that the
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stationary (non-time-varying) Kalman filter
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- .. math:: x_e = A x_e + G u + L(y - C x_e - D u)
+ .. math:: x_e = A x_e + B u + L(y - C x_e - D u)
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produces a state estimate x_e that minimizes the expected squared error
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using the sensor measurements y. The noise cross-correlation `NN` is
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