Aspects of Fairness in Robust, Distributed Control of Interconnected Systems

Axelson-Fisk, Magnus; Knorn, Steffi

doi:10.1109/cdc42340.2020.9303821

Cited by 2 publications

(2 citation statements)

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“…Definition 1. Consider the matrix F s = { f ij } M×M as the structured perturbation matrix for system (1), where…”

Section: Stability Conditionsmentioning

confidence: 99%

“…Having obtained its maturity during recent decades, decentralized and robust control ( [1][2][3][4][5][6] and others mentioned in this article) still belong to the topical issues of control theory and practice. The concept of a large-scale system highlights the fundamental feature of a complex system for which centralized control is challenging or unfeasible due to its sheer size and complexity.…”

Section: Introductionmentioning

confidence: 99%

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Decentralized Controller Design for Large-Scale Uncertain Discrete-Time Systems with Non-Block-Diagonal Output Matrix

Rosinová,

Körösi,

Veselý

2023

Electronics

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This research paper addresses the challenge of designing a decentralized controller for a discrete-time uncertain polytopic system with a linear large-scale (LSS) structure. Specifically, we investigate this problem in cases where the subsystem’s output matrix lacks a decentralized structure. Firstly, the proposed novel procedure of a decentralized controller design transforms the LSS model to have a fully decentralized structure (both input and output matrices are block-diagonal). Then, the robust stability boundary parameter is calculated for the open-loop system. This stability boundary parameter is considered in robust decentralized controller design where an appropriate controller design method is used. The entire process of designing a robust decentralized controller takes place at the subsystem level, and the influence of interaction is considered through the robust stability boundary parameter. Lastly, we present an example of a five-order system comprising two subsystems to show the effectiveness of the new method.

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“…Definition 1. Consider the matrix F s = { f ij } M×M as the structured perturbation matrix for system (1), where…”

Section: Stability Conditionsmentioning

confidence: 99%