23 research outputs found

    Minimum Input Selection for Structural Controllability

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    Given a linear system x˙=Ax\dot{x} = Ax, where AA is an n×nn \times n matrix with mm nonzero entries, we consider the problem of finding the smallest set of state variables to affect with an input so that the resulting system is structurally controllable. We further assume we are given a set of "forbidden state variables" FF which cannot be affected with an input and which we have to avoid in our selection. Our main result is that this problem can be solved deterministically in O(n+mn)O(n+m \sqrt{n}) operations
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