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A Strict ISS-Lyapunov Function for LTV Systems With Non-Time-Differentiable Dynamics

Authors: Mazenc, Frèderic; Maghenem, Mohamed; Loría, Antonio;

A Strict ISS-Lyapunov Function for LTV Systems With Non-Time-Differentiable Dynamics

Abstract

We study stability and robustness for a large class of linear time-varying systems under the assumption that the system possesses some kind of excitation, which is necessary for uniform attractivity of the origin, but not even boundedness of the solutions is assumed a priori . Our main statements provide strict Lyapunov functions, i.e., having a strictly negative-definite derivative, constructed based on an initial candidate whose derivative is sign-undefined. The Lyapunov function that we construct guarantees uniform global asymptotic stability and input-to-state stability with respect to bounded additive inputs. As a byproduct of our main results, we provide a Lyapunov function for a class of systems reminiscent of model-reference adaptive control with non-differentiable regressors.

Keywords

[SPI.AUTO] Engineering Sciences [physics]/Automatic, [MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS], Persistency of excitation, Timevarying systems, Adaptive control, [MATH] Mathematics [math], Time-varying systems, Lyapunov functions

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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