1985
DOI: 10.2514/3.20025
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Stability of multidimensional linear time-varying systems

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Cited by 27 publications
(11 citation statements)
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“…Many dynamical systems can be described by matrix second‐order time‐varying differential equations of the form : M(t)(t)MathClass-bin+Q(t)(t)MathClass-bin+K(t)x(t)MathClass-rel=0MathClass-punc, where x(t)MathClass-rel∈double-struckRn is the state vector, M ( t ) Q ( t ) K(t)MathClass-rel∈double-struckRnMathClass-bin×n are time‐varying matrices, and M ( t ) is invertible. Examples can be found in many engineering fields, such as systems with time‐varying mass distribution (e.g., a space station carrying a mobile crane, and a space structure extended in orbit being typical examples from space engineering) and helicopter structure dynamics with periodic excitation caused by propeller motion . Stability of such matrix second‐order time‐varying systems has attracted considerable attention (see and the references therein).…”
Section: Introductionmentioning
confidence: 99%
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“…Many dynamical systems can be described by matrix second‐order time‐varying differential equations of the form : M(t)(t)MathClass-bin+Q(t)(t)MathClass-bin+K(t)x(t)MathClass-rel=0MathClass-punc, where x(t)MathClass-rel∈double-struckRn is the state vector, M ( t ) Q ( t ) K(t)MathClass-rel∈double-struckRnMathClass-bin×n are time‐varying matrices, and M ( t ) is invertible. Examples can be found in many engineering fields, such as systems with time‐varying mass distribution (e.g., a space station carrying a mobile crane, and a space structure extended in orbit being typical examples from space engineering) and helicopter structure dynamics with periodic excitation caused by propeller motion . Stability of such matrix second‐order time‐varying systems has attracted considerable attention (see and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…The most commonly used method for analyzing the stability of the matrix second‐order time‐varying systems with the time‐varying coefficient matrix M ( t ) is the Lyapunov function approach because some eigenvalue‐based criteria (such as Routh–Hurwitz criterion) used for the matrix second‐order time‐invariant systems (see ) cannot be applied for the global stability analysis of the time‐varying cases. For example, in , some sufficient conditions were derived based on the Lyapunov function approach. In and , the coefficient matrices M ( t ) Q ( t ), and K ( t ) are assumed to be differentiable.…”
Section: Introductionmentioning
confidence: 99%
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