1996
DOI: 10.1016/s1474-6670(17)58144-6
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On Computing the Anisotropic Norm of Linear Discrete-Time-Invariant Systems

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Cited by 54 publications
(50 citation statements)
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“…Excluding from consideration the trivial case where the function Λ in (20) is a constant matrix, A (q) and N (q) are both strictly increasing in q (see [14], [15]). This allows the minimum required mean anisotropy in (22) to be computed as A (N −1 (γ)), where N −1 denotes the functional inverse of N .…”
Section: Definitionmentioning
confidence: 99%
“…Excluding from consideration the trivial case where the function Λ in (20) is a constant matrix, A (q) and N (q) are both strictly increasing in q (see [14], [15]). This allows the minimum required mean anisotropy in (22) to be computed as A (N −1 (γ)), where N −1 denotes the functional inverse of N .…”
Section: Definitionmentioning
confidence: 99%
“…is the mean anisotropy functional introduced in [1], and the angular boundary value G(ω) lim r→1−0 G(re iω ).…”
Section: Normalized Anisotropy-based Stochastic H ∞ Optimization mentioning
confidence: 99%
“…The lack of performance in terms of the anisotropic norm can be expressed as |||F e ||| α = |||F − F r ||| α , where F e is the error model, F is the closed-loop system defined by (4), F r = F l (P, K r ) is the closed-loop system with a reducedorder controller. This value can be computed following the way of [1].…”
Section: B Reduced-order Plant and Controllermentioning
confidence: 99%
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“…is the mean anisotropy functional [3], [5]. Let T zw (z) denote the transfer function from W to Z of the closed-loop system with the fixed-order controller K(z) in the general dynamic compensator form…”
Section: Introductionmentioning
confidence: 99%