Yacine Lounici
Papers
1
Total Citations
2
H-Index
1
About
Yacine Lounici is a researcher specializing in fault-tolerant control systems, uncertain system modeling, and intelligent control methodologies. His work integrates bond graph theory with adaptive fuzzy logic to enhance the resilience and performance of complex engineering systems under faults and uncertainties. His most cited paper, "Uncertain Bicausal Bond Graph and Adaptive Fuzzy PID Controller for Fault-Tolerant Control" (2020), introduces a novel control scheme that combines uncertain bicausal bond graphs with an adaptive fuzzy PID controller. This approach enables faster and more effective system responses during faults, significantly improving reliability in uncertain environments. Although his citation count is currently modest, his contributions are foundational in advancing hybrid intelligent control strategies for safety-critical applications. Lounici’s research is particularly relevant for students and engineers working on robust control, fault diagnosis, and automation, offering practical frameworks for designing systems that maintain performance despite disturbances. His work represents a meaningful step toward more adaptive and fault-resilient engineering solutions.
Research Focus
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Top Papers
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