LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Event-triggered consensus tracking for fractional-order multi-agent systems with general linear models

Photo from wikipedia

Abstract Since many practical physical phenomena can be depicted more accurately and suitablely by fractional-order models, this work addresses the event-triggered consensus tracking for the fractional-order multi-agent systems (FOMASs) governed… Click to show full abstract

Abstract Since many practical physical phenomena can be depicted more accurately and suitablely by fractional-order models, this work addresses the event-triggered consensus tracking for the fractional-order multi-agent systems (FOMASs) governed by general linear models. Firstly, a distributed event-triggered control algorithm relied on state feedback is derived. Then, according to the Laplace transform, the Mittag-Leffler function, the comparison test of improper integral, and the technique of inequality, some consensus criteria are obtained to ensure all followers can track a dynamic leader and Zeno behavior can be avoided. Lastly, some numerical simulation results are provided to verify the effectiveness of the event-triggered method.

Keywords: event; fractional order; triggered consensus; event triggered

Journal Title: Neurocomputing
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.