2022
DOI: 10.1109/lcsys.2021.3081382
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Estimating Regions of Attraction for Transitional Flows Using Quadratic Constraints

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Cited by 10 publications
(13 citation statements)
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“…Globally, when considering x ∈ R n , losslessness is one of the only properties satisfied by ϕ(x); however, when considering a regional analysis with x ∈ E ⊂ R n , the nonlinearity ϕ(x) can be locally bounded. The benefits of introducing local bounds for ϕ(•) was identified in [7], with the bounds obtained from the Cauchy-Schwartz Lemma allowing the conservatism of their stability certificates to be reduced compared to the earlier results of [8] and [9]. However, in general, bounds produced by the Cauchy-Schwartz Lemma are not tight, which suggests that there may be room to reduce this conservatism still further.…”
Section: Local Quadratic Bounds For ϕmentioning
confidence: 99%
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“…Globally, when considering x ∈ R n , losslessness is one of the only properties satisfied by ϕ(x); however, when considering a regional analysis with x ∈ E ⊂ R n , the nonlinearity ϕ(x) can be locally bounded. The benefits of introducing local bounds for ϕ(•) was identified in [7], with the bounds obtained from the Cauchy-Schwartz Lemma allowing the conservatism of their stability certificates to be reduced compared to the earlier results of [8] and [9]. However, in general, bounds produced by the Cauchy-Schwartz Lemma are not tight, which suggests that there may be room to reduce this conservatism still further.…”
Section: Local Quadratic Bounds For ϕmentioning
confidence: 99%
“…, n, with G ξ = {x ∈ R n : x(t) ⊤ Gx(t) ≤ ξ 2 } defining an ellipsoid over R n and with e i ∈ R n being the i th standard basis vector. Contrasting with the formulation of [7], in this paper, the matrices ∆ i = λ K+i ξ 2 G −1 are defined as matrix decision variables in the optimisation problem of the stability conditions instead of being fixed at each iteration.…”
Section: B Matrix Inequalitiesmentioning
confidence: 99%
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“…In order to provide a more complete characterization of the flow, a number of researchers have sought to include nonlinear effects in the input-output approach; e.g., through harmonic balance methods [20] that build upon techniques for analyzing systems with spatiotemporal periodic coefficients [21], [22], [23], [24], [25]. Nonlinearity has also been included in stability analysis using quadratic constraints within a linear matrix inequality formulations [26], [27], [28], [29], [30]. Liu & Gayme [31] proposed an alternative approach that employs an input-output model of the nonlinearity placed within a feedback interconnection with the linearized dynamics (in the spirit of a Luré decomposition [32], [33] of the problem [34], [2]).…”
Section: Introductionmentioning
confidence: 99%