Nikolaos Moustakis
Papers
1
Total Citations
19
H-Index
1
About
Nikolaos Moustakis is a leading researcher in the field of control systems, with a primary focus on fault detection and identification for complex, hybrid dynamical systems. His work is particularly influential in the area of piecewise affine (PWA) systems, where he has developed innovative strategies to address the challenge of detecting and isolating faults in systems with unknown subsystems and partitions. In his seminal 2018 paper, which has garnered 19 citations, Moustakis introduced a novel, recursive online fault detection and identification scheme for bimodal and trimodal PWA systems. This work stands out for its ability to handle real-time diagnostics without prior knowledge of system modes, marking a significant advancement over existing methods. By enabling more robust and autonomous monitoring of safety-critical applications—such as automotive, aerospace, and industrial process control—Moustakis’s contributions are paving the way for more resilient and intelligent engineering systems. His research continues to inspire new approaches in fault-tolerant control and system identification.
Research Focus
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Top Papers
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