Elham Ebrahimkhani

Papers

Total Citations

H-Index

About

Elham Ebrahimkhani is a researcher focused on the control and coordination of complex multi-agent systems, with a particular emphasis on descriptor systems—a broader class of dynamic models that capture algebraic constraints alongside differential equations. Her most cited work, "Scaled consensus of descriptor multi-agent systems" (2017), introduces a novel framework for achieving scaled consensus, where agents converge to a state proportional to predefined scaling factors rather than a common value. This contribution is significant because it extends consensus theory to descriptor systems, which are essential for modeling real-world networks with constraints, such as robotic teams or power grids. With 3 citations, this paper lays foundational groundwork for future studies in distributed control. Ebrahimkhani’s research bridges theoretical advances in multi-agent coordination with practical applications, offering new tools for engineers designing scalable, constraint-aware systems. Her work is particularly valuable for students and researchers exploring consensus algorithms in non-standard system architectures, highlighting the importance of algebraic constraints in networked dynamics.