<i>H</i><sub>∞</sub> State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian Approach

The paper presents an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> type control procedure...

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Main Authors: Adrian-Mihail Stoica, Serena Cristiana Stoicu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/12/1734
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author Adrian-Mihail Stoica
Serena Cristiana Stoicu
author_facet Adrian-Mihail Stoica
Serena Cristiana Stoicu
author_sort Adrian-Mihail Stoica
collection DOAJ
description The paper presents an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> type control procedure for multi-agent systems taking into account possible data dropout in the communication network. The data dropout is modelled using a standard homogeneous Markov chain leading to an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> type control problem for stochastic multi-agent systems with Markovian jumps. The considered <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> type criterion includes, besides the components corresponding to the attenuation condition of exogenous disturbance inputs, quadratic terms aiming to acquire the consensus between the agents. It is shown that in the case of identical agents, a state-feedback controller with Markov parameters may be determined solving two specific systems of Riccati equations whose dimension does not depend on the number of agents. Iterative procedures to solve such systems are also presented together with an illustrative numerical example.
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spelling doaj.art-68a639f264834070ac9da22561ed31282023-11-24T14:42:02ZengMDPI AGEntropy1099-43002022-11-012412173410.3390/e24121734<i>H</i><sub>∞</sub> State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian ApproachAdrian-Mihail Stoica0Serena Cristiana Stoicu1Faculty of Aerospace Engineering, University Politehnica of Bucharest, 011061 Bucharest, RomaniaFaculty of Aerospace Engineering, University Politehnica of Bucharest, 011061 Bucharest, RomaniaThe paper presents an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> type control procedure for multi-agent systems taking into account possible data dropout in the communication network. The data dropout is modelled using a standard homogeneous Markov chain leading to an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> type control problem for stochastic multi-agent systems with Markovian jumps. The considered <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>H</mi><mo>∞</mo></msub></semantics></math></inline-formula> type criterion includes, besides the components corresponding to the attenuation condition of exogenous disturbance inputs, quadratic terms aiming to acquire the consensus between the agents. It is shown that in the case of identical agents, a state-feedback controller with Markov parameters may be determined solving two specific systems of Riccati equations whose dimension does not depend on the number of agents. Iterative procedures to solve such systems are also presented together with an illustrative numerical example.https://www.mdpi.com/1099-4300/24/12/1734multi-agent systems<i>H<sub>∞</sub></i> type controldata packet dropoutMarkovian modelscoupled algebraic Riccati equationsiterative numerical methods
spellingShingle Adrian-Mihail Stoica
Serena Cristiana Stoicu
<i>H</i><sub>∞</sub> State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian Approach
Entropy
multi-agent systems
<i>H<sub>∞</sub></i> type control
data packet dropout
Markovian models
coupled algebraic Riccati equations
iterative numerical methods
title <i>H</i><sub>∞</sub> State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian Approach
title_full <i>H</i><sub>∞</sub> State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian Approach
title_fullStr <i>H</i><sub>∞</sub> State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian Approach
title_full_unstemmed <i>H</i><sub>∞</sub> State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian Approach
title_short <i>H</i><sub>∞</sub> State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian Approach
title_sort i h i sub ∞ sub state feedback control of multi agent systems with data packet dropout in the communication channels a markovian approach
topic multi-agent systems
<i>H<sub>∞</sub></i> type control
data packet dropout
Markovian models
coupled algebraic Riccati equations
iterative numerical methods
url https://www.mdpi.com/1099-4300/24/12/1734
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AT serenacristianastoicu ihisubsubstatefeedbackcontrolofmultiagentsystemswithdatapacketdropoutinthecommunicationchannelsamarkovianapproach