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State observer
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=== Continuous-time case === The previous example was for an observer implemented in a discrete-time LTI system. However, the process is similar for the continuous-time case; the observer gains <math>L</math> are chosen to make the continuous-time error dynamics converge to zero asymptotically (i.e., when <math>A-LC</math> is a [[Hurwitz-stable matrix|Hurwitz matrix]]). For a continuous-time linear system : <math>\dot{x} = A x + B u, </math> : <math>y = C x + D u, </math> where <math>x \in \mathbb{R}^n, u \in \mathbb{R}^m ,y \in \mathbb{R}^r</math>, the observer looks similar to discrete-time case described above: : <math>\dot{\hat{x}} = A \hat{x}+ B u + L \left(y - \hat{y}\right) </math>. : <math>\hat{y} = C \hat{x} + D u, </math> The observer error <math>e=x-\hat{x}</math> satisfies the equation : <math> \dot{e} = (A - LC) e</math>. The eigenvalues of the matrix <math>A-LC</math> can be chosen arbitrarily by appropriate choice of the observer gain <math>L</math> when the pair <math>[A,C]</math> is observable, i.e. [[observability]] condition holds. In particular, it can be made Hurwitz, so the observer error <math>e(t) \to 0</math> when <math>t \to \infty</math>.
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