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  2. Controllability Gramian - Wikipedia

    en.wikipedia.org/wiki/Controllability_Gramian

    In control theory, we may need to find out whether or not a system such as ˙ = + () = + is controllable, where , , and are, respectively, , , and matrices for a system with inputs, state variables and outputs.

  3. Controllability - Wikipedia

    en.wikipedia.org/wiki/Controllability

    Controllability is an important property of a control system and plays a crucial role in many control problems, such as stabilization of unstable systems by feedback, or optimal control. Controllability and observability are dual aspects of the same problem.

  4. Kalman decomposition - Wikipedia

    en.wikipedia.org/wiki/Kalman_decomposition

    In control theory, a Kalman decomposition provides a mathematical means to convert a representation of any linear time-invariant (LTI) control system to a form in which the system can be decomposed into a standard form which makes clear the observable and controllable components of the system.

  5. State-space representation - Wikipedia

    en.wikipedia.org/wiki/State-space_representation

    In control engineering and system identification, a state-space representation is a mathematical model of a physical system that uses state variables to track how inputs shape system behavior over time through first-order differential equations or difference equations. These state variables change based on their current values and inputs, while ...

  6. Gram matrix - Wikipedia

    en.wikipedia.org/wiki/Gram_matrix

    In quantum chemistry, the Gram matrix of a set of basis vectors is the overlap matrix. In control theory (or more generally systems theory), the controllability Gramian and observability Gramian determine properties of a linear system.

  7. H-infinity methods in control theory - Wikipedia

    en.wikipedia.org/wiki/H-infinity_methods_in...

    The phrase H ∞ control comes from the name of the mathematical space over which the optimization takes place: H ∞ is the Hardy space of matrix-valued functions that are analytic and bounded in the open right-half of the complex plane defined by Re(s) > 0; the H ∞ norm is the supremum singular value of the matrix over that

  8. Ackermann's formula - Wikipedia

    en.wikipedia.org/wiki/Ackermann's_Formula

    In control theory, Ackermann's formula provides a method for designing controllers to achieve desired system behavior by directly calculating the feedback gains needed to place the closed-loop system's poles (eigenvalues) [1] at specific locations (pole allocation problem).

  9. Observability - Wikipedia

    en.wikipedia.org/wiki/Observability

    Observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In control theory, the observability and controllability of a linear system are mathematical duals.