Extensions of $\mathcal{KL}$ and Lyapunov Functions for Discrete-time Dynamical System Peaks Analysis
Assal\'e Adj\'e

TL;DR
This paper extends classes of functions used in stability analysis to solve a peak computation problem in discrete-time dynamical systems, introducing new methods and Lyapunov-like functions for better bounds and analysis.
Contribution
It develops two alternative methods using KL-like functions and constructs new Lyapunov-like functions, extending existing theories for peak analysis in discrete-time systems.
Findings
Established existence of a KL-like upper bound using a pair of functions and sequences.
Proved the equivalence between Lyapunov-like functions and specific function-sequence pairs.
Constructed a new Lyapunov-like function tailored for peak computation problems.
Abstract
In this paper, we extend two classes of functions involved in asymptotic stability analyses. The goal of this extension is to study a maximization problem on the reachable values of a discrete-time dynamical system. This specific maximization problem is called a peak computation problem. The problem consists in finding a pair composed of an initial state and a time that maximizes a given function over states. The paper focuses on the time component of the optimal solution, which is an integer as the time is discrete. We apply a method developed in previous papers to compute an upper bound of the greatest index maximizer of a real sequence. The method uses a formula based on a pair of a strictly increasing and continuous function on [0,1] and a convergent geometric sequence that provides an upper bound of the analyzed sequence. This pair is proven to exist. However, in practice, the…
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Taxonomy
TopicsChaos control and synchronization · Quantum chaos and dynamical systems · Control and Stability of Dynamical Systems
