Amir Amini

Concordia University

Papers

3

Total Citations

139

H-Index

3

About

Amir Amini is a rising authority in the control and coordination of multi-agent systems (MAS), with a particular focus on event-triggered mechanisms and cybersecurity. His research addresses the critical challenge of reducing communication overhead while ensuring system resilience, a key concern for modern networked autonomous systems. Amini’s most impactful work, "Formation-containment control using dynamic event-triggering mechanism for multi-agent systems" (78 citations), pioneers a novel framework that minimizes leader-leader and follower-follower communication without sacrificing performance. He further advanced the field by developing a memory-based sampled-data consensus protocol that maintains stability even under nonlinear actuator faults (31 citations), and by proposing a unified optimization framework for resilient consensus under denial-of-service (DoS) attacks (30 citations). These contributions are vital for applications ranging from drone swarms to smart grids, where communication bandwidth is limited and security is paramount. Through his work, Amini has established himself as a key innovator in creating efficient, fault-tolerant, and attack-resistant control strategies for the next generation of autonomous multi-agent networks.

Research Focus

Key Achievements

3
H-Index
3
Papers
139
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Formation-containment control using dynamic event-triggering mechanism for multi-agent systems
78 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Concordia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago