Practical consensus for heterogeneous multi-agent systems with gain fluctuations via resilient sampled-data control Article Swipe

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B. Visakamoorthi , Samson S. Yu , K. Subramanian , P. Muthukumar , Mohammed Chadli , Hieu Trinh ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1016/j.ejcon.2023.100803

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Aperiodic graph Control theory (sociology) Nonlinear system Sampling (signal processing) Multi-agent system Computer science Constant (computer programming) Stability (learning theory) Mathematics Linear matrix inequality Control (management) Sampled data systems Control system Mathematical optimization Engineering Artificial intelligence Physics Quantum mechanics Programming language Electrical engineering Filter (signal processing) Computer vision Machine learning Combinatorics

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.ejcon.2023.100803
OA Status: green
Cited By: 7
References: 40
Related Works: 10
OpenAlex ID: https://openalex.org/W4353051274

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DOI: https://doi.org/10.1016/j.ejcon.2023.100803

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Title: Practical consensus for heterogeneous multi-agent systems with gain fluctuations via resilient sampled-data control

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Language: en

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Publication year: 2023

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Publication date: 2023-03-22

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Authors: B. Visakamoorthi, Samson S. Yu, K. Subramanian, P. Muthukumar, Mohammed Chadli, Hieu Trinh

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Landing page: https://doi.org/10.1016/j.ejcon.2023.100803

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Concepts: Aperiodic graph, Control theory (sociology), Nonlinear system, Sampling (signal processing), Multi-agent system, Computer science, Constant (computer programming), Stability (learning theory), Mathematics, Linear matrix inequality, Control (management), Sampled data systems, Control system, Mathematical optimization, Engineering, Artificial intelligence, Physics, Quantum mechanics, Programming language, Electrical engineering, Filter (signal processing), Computer vision, Machine learning, Combinatorics

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Cited by: 7

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