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  2. 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.

  3. FASB 133 - Wikipedia

    en.wikipedia.org/wiki/FASB_133

    Statements of Financial Accounting Standards No. 133, Accounting for Derivative Instruments and Hedging Activities, commonly known as FAS 133, is an accounting standard issued in June 1998 by the Financial Accounting Standards Board (FASB) that requires companies to measure all assets and liabilities on their balance sheet at “fair value”.

  4. Controllability Gramian - Wikipedia

    en.wikipedia.org/wiki/Controllability_Gramian

    Download QR code; Print/export ... One of the many ways one can achieve such goal is by the use of the Controllability Gramian. Controllability in LTI Systems ...

  5. Hautus lemma - Wikipedia

    en.wikipedia.org/wiki/Hautus_lemma

    A special case of this result appeared first in 1963 in a paper by Elmer G. Gilbert, [1] and was later expanded to the current PBH test with contributions by Vasile M. Popov in 1966, [3] [4] Vitold Belevitch in 1968, [5] and Malo Hautus in 1969, [5] who emphasized its applicability in proving results for linear time-invariant systems.

  6. Category:Accounting terminology - Wikipedia

    en.wikipedia.org/wiki/Category:Accounting...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  7. 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.

  8. Observability Gramian - Wikipedia

    en.wikipedia.org/wiki/Observability_Gramian

    We can see that is a symmetric matrix, therefore, so is .. We can use again the fact that, if is stable (all its eigenvalues have negative real part) to show that is unique.

  9. 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.