CEASE: A Collaborative Event-Triggered Average-Consensus Sampled-Data Framework With Performance Guarantees for Multi-Agent Systems

DOI10.1109/TSP.2018.2872832zbMath1414.93007OpenAlexW2895487882WikidataQ129165872 ScholiaQ129165872MaRDI QIDQ4622498

Arash Mohammadi, Amir Amini, Amir Asif

Publication date: 12 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2018.2872832

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Decentralized systems (93A14) Asymptotic stability in control theory (93D20)

Related Items (2)

Event-triggered guaranteed cost consensus control for second-order multi-agent systems based on observers ⋮ CEASE

Uses Software

• YALMIP
• Mosek

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