By Xu-Guang Li, Silviu-Iulian Niculescu, Arben Cela

ISBN-10: 3319157167

ISBN-13: 9783319157160

ISBN-10: 3319157175

ISBN-13: 9783319157177

In this short the authors identify a brand new frequency-sweeping framework to resolve the total balance challenge for time-delay platforms with commensurate delays. The textual content describes an analytic curve point of view which permits a deeper knowing of spectral homes targeting the asymptotic habit of the attribute roots situated at the imaginary axis in addition to on houses invariant with recognize to the hold up parameters. This asymptotic habit is proven to be comparable via one other novel notion, the twin Puiseux sequence which is helping make frequency-sweeping curves valuable within the examine of common time-delay platforms. The comparability of Puiseux and twin Puiseux sequence ends up in 3 very important results:

  • an specific functionality of the variety of risky roots simplifying research and layout of time-delay platforms in order that to some extent they're handled as finite-dimensional systems;
  • categorization of all time-delay structures into 3 kinds in keeping with their final balance homes; and
  • a easy frequency-sweeping criterion permitting asymptotic habit research of serious imaginary roots for all confident severe delays by way of observation.

Academic researchers and graduate scholars attracted to time-delay platforms and practitioners operating in various fields – engineering, economics and the lifestyles sciences regarding move of fabrics, strength or info that are inherently non-instantaneous, will locate the consequences provided right here invaluable in tackling a few of the complex difficulties posed by means of delays.

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Additional resources for Analytic Curve Frequency-Sweeping Stability Tests for Systems with Commensurate Delays

Example text

2 (though has not been explicitly proposed in the literature) has been noticed and solved for some specific time-delay systems. If a critical imaginary root is simple for all the critical delays, it was proved in [97] together with [109] that the way the critical imaginary root moves as τ increases near each positive critical delay always has the same effect on NU (τ ). If a multiple critical imaginary root appears, the case will become much more complicated and computationally involved. To the best of the authors’ knowledge, only one paper [54] explicitly discusses such a case.

1) α,β≥0 where φα,β (α ∈ N, β ∈ N) are complex coefficients. We suppose that Φ(0, 0) = 0 (that is, the constant term φ0,0 = 0) and that the power series Φ(y, x) is convergent in a small neighborhood of the point (x = 0, y = 0). 1 If there exists a point (y ∗ , x ∗ ) other than (0, 0) such that Φ(y ∗ , x ∗ ) = 0, we may obtain a new power series with a zero constant term. More precisely, we may define two new variables x = x − x ∗ and y = y − y ∗ . As a result, we obtain a new power series Φ(y, x) satisfying that Φ(0, 0) = 0 from the original power series equation Φ(y ∗ , x ∗ ) = 0 and the local behavior of the original equation Φ(y, x) = 0 as y → y ∗ and x → x ∗ is reflected by that of the new one Φ(y, x) = 0 as y → 0 and x → 0.

0 −β Step 3: Collect all the nonzero L αβ satisfying βα−α = μ to form a set 0 L α1 β1 (Δλ)α1 (Δτ )β1 , L α2 β2 (Δλ)α2 (Δτ )β2 , . . 2) with the order α1 > α2 > . . We find a set of Puiseux series Δλ = Cμ,l (Δτ )μ + o((Δτ )μ ), l = 1, . . 3) where the coefficients Cμ,l are the solutions of the polynomial equation L α1 β1 C α1 −α0 + L α2 β2 C α2 −α0 + · · · + L α0 β0 = 0. Step 4: Let α0 = α1 , β0 = β1 and return to Step 1. Step 5: The algorithm stops. 1. 6). We apply the Newton diagram to obtain the Puiseux series, as introduced in Sect.

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Analytic Curve Frequency-Sweeping Stability Tests for Systems with Commensurate Delays by Xu-Guang Li, Silviu-Iulian Niculescu, Arben Cela

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