ゲノム情報科学研究教育機構  アブストラクト
Date 11:00-12:00 Nov 28, 2023
Speaker Graziano Chesi
Professor,
Department of Electrical and Electronic Engineering,
The University of Hong Kong
Title Exact LMI Conditions for Stability and L2 Gain Analysis of 2D Systems via Quadratically-Frequency-Dependent Lyapunov Functions
Abstract
This talk presents our recent results about the problems of establishing stability and performance of 2D systems. The first result states that Lyapunov functions quadratically dependent on the frequency are exact for establishing stability. This is particularly important since the existing works that exploit Lyapunov functions provide a much larger upper bound on the dependence on the frequency or other parameters. The second result provides a novel linear matrix inequality (LMI) necessary and sufficient condition for establishing the existence of such Lyapunov functions. It is shown, analytically and through several examples, for both best and worst cases, that the numerical complexity of this novel condition is significantly smaller than that of the existing methods. The third result explains how the proposed methodology can be used to establish upper bounds on the L2 gain, in particular, deriving a novel necessary and sufficient LMI condition based on Lyapunov functions quadratically dependent on the frequency.

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