Seyyed Ali Emami
Papers
2
Total Citations
44
H-Index
2
About
Seyyed Ali Emami is a researcher specializing in intelligent control systems, fault-tolerant control, and autonomous aerial vehicle guidance. His work focuses on enhancing the reliability and performance of unmanned air vehicles under challenging conditions, including actuator faults and external disturbances. Emami’s major contributions include developing a novel fault-tolerant model predictive control (MPC) framework for trajectory tracking, which integrates a generalized online sequential extreme learning machine to identify actuator fault coefficients in real time. This approach, detailed in his highly cited 2019 paper (32 citations), significantly improves flight safety and robustness. He has also advanced adaptive neural guidance and control using composite learning with disturbance observers, as demonstrated in his 2023 work (12 citations), enabling precise aircraft navigation despite uncertainties. Emami’s research bridges theoretical control design with practical aerospace applications, offering scalable solutions for autonomous systems. His work is widely recognized for its impact on resilient flight control, with citations reflecting its relevance to both academic and industrial communities.
Research Focus
Key Achievements
Top Papers
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