학술논문

Nonlinear Stability Analysis of Distributed Self-Interleaving for Driving Signals in Multicellular Converters
Document Type
Conference
Source
2023 62nd IEEE Conference on Decision and Control (CDC) Decision and Control (CDC), 2023 62nd IEEE Conference on. :3574-3579 Dec, 2023
Subject
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Asymptotic stability
Analytical models
Uncertainty
Filtering
Simulation
Integrated circuit interconnections
Stability analysis
Language
ISSN
2576-2370
Abstract
We analyze a self-interleaving circuitry for driving signals in multicellular converters based on an interconnection graph with a ring topology that induces desirable fault-tolerant features. Using nonlinear hybrid dynamical tools, we show that the dynamics of this electronic solution can be formulated as a system with a sampled-data feedback law emulating a first-order Kuramoto-like model. For this Kuramoto model, under general conditions on the coupling functions, we provide a Lyapunov-based proof of local asymptotic stability of the splay state (interleaved) configuration. We then illustrate the relation with the emulation-based sampled-data scenario via simulation results.