Elsevier

Automatica

Volume 142, August 2022, 110429
Automatica

Correspondence
Comments on “Design of Controllers with Arbitrary Convergence Time” [Automatica 112 (2020) 108710],☆☆

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Abstract

The notion of “free-will arbitrary time stability” of (Pal et al. (2020), Definition 4) is ill-posed. The proof of the paper’s central result (Pal et al. (2020), Theorem 2) is incomplete. The arbitrary time stability concept (Pal et al. (2020), Definition 3) is implied by prescribed-time stabilization by Song et al. (2017). Additionally, Theorem 1 by Pal et al. (2020) is obtained by a logarithmic change of the Lyapunov function from (Song et al. (2017), Corollary 1).

Section snippets

On technical correctness

We examine first the meaning of the basic concepts, given by Pal et al. (2020) for the underlying system ẋ=f(t,x;ϕ),x(t0)=x0.As in Pal et al. (2020), xRn is the state of system (1), t0R0 stands for the initial time, ϕRp represents the constant parameters of the system, and f:R0×RnRn is a nonlinear function such that f(t,0;ϕ)=0.

Definition 3 of arbitrary time stability and Definition 4 of free-will arbitrary time stability, introduced in Pal et al. (2020), rely on the fixed-time stability

On novelty

Comment #4. Definition 3 coins the term “arbitrary time stability”, which is just a re-branding of the pre-existing concept of “prescribed-time stabilization” in Song et al. (2017). Definition 3 trivially extends the prescribed-time stabilization concept to an infinite horizon by requiring the state to remain zero after the prescribed time.

Comment #5. Using the logarithmic transformation Vln(1+V)in (8) of Song et al. (2017), Theorem 1 of Pal et al. (2020) is a direct consequence of Corollary 1

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The authors of the commented-on paper stand by the assertions and contributions of their paper.

☆☆

The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Editor André L. Tits.

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