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2. Lyapunov function - Wikipedia

   en.wikipedia.org/wiki/Lyapunov_function

   A Lyapunov function for an autonomous dynamical system {: ˙ = ()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 ˙ = is non positive (these conditions are required on some region containing the origin).

3. Lyapunov equation - Wikipedia

   en.wikipedia.org/wiki/Lyapunov_equation

   In particular, the discrete-time Lyapunov equation (also known as Stein equation) for is A X A H − X + Q = 0 {\displaystyle AXA^{H}-X+Q=0} where Q {\displaystyle Q} is a Hermitian matrix and A H {\displaystyle A^{H}} is the conjugate transpose of A {\displaystyle A} , while the continuous-time Lyapunov equation is

4. Conley's fundamental theorem of dynamical systems - Wikipedia

   en.wikipedia.org/wiki/Conley's_fundamental...

   Conley's decomposition is characterized by a function known as complete Lyapunov function. Unlike traditional Lyapunov functions that are used to assert the stability of an equilibrium point (or a fixed point) and can be defined only on the basin of attraction of the corresponding attractor, complete Lyapunov functions must be defined on the whole phase-portrait.

5. List of open-source software for mathematics - Wikipedia

   en.wikipedia.org/wiki/List_of_open-source...

   The primary difference between a computer algebra system and a traditional calculator is the ability to deal with equations symbolically rather than numerically. The precise uses and capabilities of these systems differ greatly from one system to another, yet their purpose remains the same: manipulation of symbolic equations.

6. Control-Lyapunov function - Wikipedia

   en.wikipedia.org/wiki/Control-Lyapunov_function

   The ordinary Lyapunov function is used to test whether a dynamical system is (Lyapunov) stable or (more restrictively) asymptotically stable. Lyapunov stability means that if the system starts in a state x ≠ 0 {\displaystyle x\neq 0} in some domain D , then the state will remain in D for all time.

7. Massera's lemma - Wikipedia

   en.wikipedia.org/wiki/Massera's_lemma

   In stability theory and nonlinear control, Massera's lemma, named after José Luis Massera, deals with the construction of the Lyapunov function to prove the stability of a dynamical system. [1] The lemma appears in ( Massera 1949 , p. 716) as the first lemma in section 12, and in more general form in ( Massera 1956 , p. 195) as lemma 2.

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   www.aol.com/products/utilities/aol-app

   The AOL mobile app for Apple iOS and Android gives you organized and secure email, breaking news, premium videos, weather and more.

9. Drift plus penalty - Wikipedia

   en.wikipedia.org/wiki/Drift_plus_penalty

   First, a non-negative function L(t) is defined as a scalar measure of the state of all queues at time t. The function L(t) is typically defined as the sum of the squares of all queue sizes at time t, and is called a Lyapunov function. The Lyapunov drift is defined: = (+) ()