Samira Soltani
Papers
1
Total Citations
38
H-Index
1
About
Samira Soltani is a researcher specializing in intelligent control systems, fuzzy logic, and adaptive control methodologies, with a particular focus on bridging classical control theory with modern computational intelligence techniques. Her most recognized contribution centers on the development of a Fuzzy Adaptive Fuzzy Sliding Mode Controller, a sophisticated framework that addresses one of the most persistent challenges in classical sliding mode control: the chattering phenomenon. By integrating online tuning of both premise and consequence parameters of fuzzy inference systems within a Lyapunov-based theoretical foundation, Soltani's work offers a mathematically rigorous yet practically robust solution to controlling uncertain nonlinear systems. This landmark 2011 paper has garnered 38 citations, reflecting meaningful influence within the control engineering and computational intelligence communities. Her research elegantly combines the robustness of sliding mode control against model uncertainties and external disturbances with the adaptability of fuzzy systems, producing controllers that maintain asymptotic stability while significantly reducing undesirable chattering effects. Soltani's contributions are particularly valuable for researchers and engineers working on real-time control applications where system uncertainty and dynamic disturbances present significant design challenges.
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