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  2. Lyapunov equation - Wikipedia

    en.wikipedia.org/wiki/Lyapunov_equation

    The Lyapunov equation, named after the Russian mathematician Aleksandr Lyapunov, is a matrix equation used in the stability analysis of linear dynamical systems. [ 1 ] [ 2 ] In particular, the discrete-time Lyapunov equation (also known as Stein equation ) for X {\displaystyle X} is

  3. Lyapunov stability - Wikipedia

    en.wikipedia.org/wiki/Lyapunov_stability

    This example shows a system where a Lyapunov function can be used to prove Lyapunov stability but cannot show asymptotic stability. Consider the following equation, based on the Van der Pol oscillator equation with the friction term changed:

  4. Lyapunov function - Wikipedia

    en.wikipedia.org/wiki/Lyapunov_function

    A Lyapunov function for an autonomous dynamical system {: Ë™ = ()with an equilibrium point at = is a scalar function: that is continuous, has continuous first derivatives, is strictly positive for , and for which the time derivative Ë™ = is non positive (these conditions are required on some region containing the origin).

  5. Kalman–Yakubovich–Popov lemma - Wikipedia

    en.wikipedia.org/wiki/Kalman–Yakubovich–Popov...

    The Kalman–Yakubovich–Popov lemma is a result in system analysis and control theory which states: Given a number >, two n-vectors B, C and an n x n Hurwitz matrix A, if the pair (,) is completely controllable, then a symmetric matrix P and a vector Q satisfying

  6. Lyapunov–Malkin theorem - Wikipedia

    en.wikipedia.org/wiki/Lyapunov–Malkin_theorem

    The Lyapunov–Malkin theorem (named for Aleksandr Lyapunov and Ioel Malkin ) is a mathematical theorem detailing stability of nonlinear systems. [ 1 ] [ 2 ] Theorem

  7. Lyapunov optimization - Wikipedia

    en.wikipedia.org/wiki/Lyapunov_optimization

    Minimizing the drift of a quadratic Lyapunov function leads to the backpressure routing algorithm for network stability, also called the max-weight algorithm. [1] [2] Adding a weighted penalty term to the Lyapunov drift and minimizing the sum leads to the drift-plus-penalty algorithm for joint network stability and penalty minimization.

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