2019
DOI: 10.1109/access.2019.2946166
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An Explicit Method for Stability Analysis of 2D Systems Described by Transfer Function

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Cited by 5 publications
(4 citation statements)
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“…is stable 2.3: The matrix Lyapunov equation with complex elements G (e j πœ” ) βˆ’ P (e j πœ” ) t G (e j πœ” )P (e j πœ” ) = W (e j πœ” ) (17) has a positive definite and Hermitian solution G (e j πœ” ) for any given (n + m) Γ— (n + m) positive definite and Hermitian matrix W (e j πœ” ) for πœ” ∈ [0, 2πœ‹] and P (e j πœ” ) is given by ( 16) 2.4: In statement 2.2, the 2-D stability problem has been reduced in a 1-D stability problem with a matrix P (e j πœ” ) with entries which are functions of e j πœ” for πœ” ∈ [0, 2πœ‹].…”
Section: Theorem 2 the Following Statements Are Equivalentmentioning
confidence: 99%
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“…is stable 2.3: The matrix Lyapunov equation with complex elements G (e j πœ” ) βˆ’ P (e j πœ” ) t G (e j πœ” )P (e j πœ” ) = W (e j πœ” ) (17) has a positive definite and Hermitian solution G (e j πœ” ) for any given (n + m) Γ— (n + m) positive definite and Hermitian matrix W (e j πœ” ) for πœ” ∈ [0, 2πœ‹] and P (e j πœ” ) is given by ( 16) 2.4: In statement 2.2, the 2-D stability problem has been reduced in a 1-D stability problem with a matrix P (e j πœ” ) with entries which are functions of e j πœ” for πœ” ∈ [0, 2πœ‹].…”
Section: Theorem 2 the Following Statements Are Equivalentmentioning
confidence: 99%
“…For a given positive definite and Hermitian matrix W (e j πœ” ), one may solve the Lyapunov matrix equation (17) to obtain a matrix solution G (e j πœ” ) which is a Hermitian matrix. Denoting the πœ†th-order principal minor of G (e j πœ” ) by g πœ† (πœ”), we note that the principal minors g πœ† (πœ”), 1 ≀ πœ† ≀ (m + n) are real rational functions of one real variable πœ” over the closed interval [0, 2πœ‹].…”
Section: Corollarymentioning
confidence: 99%
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