Maryam Naeijian
Papers
1
Total Citations
4
H-Index
1
About
Dr. Maryam Naeijian is a control systems researcher whose work centers on the stability and convergence of adaptive control architectures. Her primary contributions lie in the rigorous analysis of Model Reference Adaptive Control (MRAC), where she has addressed a long-standing theoretical gap. While Lyapunov’s direct method traditionally ensures only stability, and Barbalat’s Lemma is needed to prove asymptotic convergence of tracking error, Dr. Naeijian’s most cited work, "Stability Analysis of Model Reference Adaptive Control with the New Theorem of Stability" (2020, 4 citations), introduces a novel theorem that streamlines this proof. This contribution offers a more direct and potentially more powerful framework for guaranteeing system performance, reducing reliance on the classical two-step approach. Her research is particularly valuable for engineers designing robust adaptive controllers for aerospace, robotics, and industrial automation, where guaranteed convergence is critical. By challenging established analytical methods, Dr. Naeijian is advancing the theoretical foundations of adaptive control, making complex stability proofs more accessible and practically applicable for next-generation autonomous systems.
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Top Papers
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