Elham Amini Boroujeni
Papers
2
Total Citations
31
H-Index
2
About
Dr. Elham Amini Boroujeni is a leading researcher in multi-agent systems, nonlinear control, and fractional-order dynamics, with a focus on advancing autonomous coordination in complex environments. Her work bridges model predictive control (MPC) and distributed optimization to address critical challenges in consensus, formation, and obstacle avoidance. Her most-cited paper, "Centralized and distributed model predictive control for consensus of non-linear multi-agent systems with time-varying obstacle avoidance" (2022, 25 citations), introduces novel MPC frameworks that ensure robust consensus while dynamically avoiding obstacles—a key enabler for applications in drone swarms and robotic teams. In her subsequent work, "Fractional-Order Multi-agent Formation Using Distributed NMPC Design with Obstacles and Collision Avoidance and Connectivity Maintenance" (2022, 6 citations), she extends these ideas to fractional-order systems, incorporating connectivity maintenance to preserve communication links during formation maneuvers. These contributions have been recognized for their practical relevance, offering scalable solutions for real-time, decentralized control in uncertain environments. Dr. Boroujeni’s research not only advances theoretical control theory but also provides actionable algorithms for autonomous systems, making her a pivotal figure in the evolution of intelligent, cooperative robotics.
Research Focus
Key Achievements
Top Papers
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