Papers
4
Total Citations
131
H-Index
4
About
Neda Sarrafan is a control systems researcher whose work centers on multi-agent systems, nonholonomic dynamics, and robust cooperative control. Her research addresses some of the most challenging problems in autonomous systems coordination, particularly the finite-time consensus tracking of high-order chained-form systems — a mathematically demanding class of nonholonomic dynamics relevant to wheeled robots and autonomous vehicles. Sarrafan's most influential contribution, cited 47 times, introduced a bounded observer-based consensus algorithm enabling robust finite-time tracking for multi-agent systems under external disturbances — a significant advance in distributed control theory. Building on this, her 2022 work (42 citations) tackled an increasingly critical cybersecurity challenge: designing resilient consensus protocols that maintain performance even under denial-of-service attacks, employing novel tangent hyperbolic formulations to achieve secure distributed observation. Her 2023 follow-up further refined disturbance rejection through improved finite-time observer architectures. Earlier in her career, Sarrafan demonstrated breadth by combining neural network-based adaptive control with high-gain observers for wheeled mobile robot formations, addressing practical voltage input constraints. Collectively, her publications reflect a consistent trajectory of advancing theoretically rigorous yet practically relevant solutions for networked autonomous systems — work that has garnered over 130 citations across just four papers, signaling meaningful influence within the multi-agent and nonlinear control communities.
Research Focus
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Top Papers
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