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In control theory, the discrete Lyapunov equation is of the form : where is a Hermitian matrix and is the conjugate transpose of . The continuous Lyapunov equation is of form :. The Lyapunov equation occurs in many branches of control theory, such as stability analysis and optimal control. This and related equations are named after the Russian mathematician Aleksandr Lyapunov. ==Application to stability== In the following theorems , and and are symmetric. The notation means that the matrix is positive definite. Theorem (continuous time version). Given any , there exists a unique satisfying if and only if the linear system is globally asymptotically stable. The quadratic function is a Lyapunov function that can be used to verify stability. Theorem (discrete time version). Given any , there exists a unique satisfying if and only if the linear system is globally asymptotically stable. As before, is a Lyapunov function. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Lyapunov equation」の詳細全文を読む スポンサード リンク
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