Amir Shakouri
Papers
1
Total Citations
55
H-Index
1
About
Amir Shakouri is a leading researcher in nonlinear control theory, with a primary focus on prescribed-time control, multi-agent systems, and obstacle avoidance in complex dynamical environments. His most-cited work, "Prescribed-Time Control for Perturbed Euler-Lagrange Systems With Obstacle Avoidance" (2021, 55 citations), introduces a groundbreaking class of time-varying controllers that guarantee convergence at an arbitrary finite time—independent of initial conditions and free of chattering. This innovation, built on a novel mapping technique, addresses a long-standing challenge in control systems: achieving precise, predictable timing in the presence of disturbances and environmental constraints. Shakouri’s contributions are particularly impactful for robotics and autonomous systems, where safe, timely maneuvers are critical. His work bridges theoretical rigor with practical applicability, offering solutions that are both robust and implementable. With growing recognition in the control community, Shakouri continues to push the boundaries of prescribed-time dynamics, making him a key figure for students and researchers interested in advanced control strategies for real-world systems.
Research Focus
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Top Papers
- 1