On Approximation Properties of Smooth Fuzzy Models. - Ebrahim Navid Sadjadi; Jesús García Herrero; José Manuel Molina 001; Zahra Hatami Moghaddam (Int. J. Fuzzy Syst., 2018)

Fuzzy Model Identification and Self Learning with Smooth Compositions. - Ebrahim Navid Sadjadi; Jesús García 001; José M. Molina López; Akbar Hashemi Borzabadi; Monireh Asadi Abchouyeh (Int. J. Fuzzy Syst., 2019)

How Effective are Smooth Compositions in Predictive Control of TS Fuzzy Models? - Ebrahim Navid Sadjadi; Mohammad Bagher Menhaj; Jesús García Herrero; José Manuel Molina 001 (Int. J. Fuzzy Syst., 2019)

How Experts in Higher Education Level Evaluate Journals on Fuzzy and Intelligent Systems? - Ebrahim Navid Sadjadi (CCECE, 2020)

Discussion on Accuracy of Approximation with Smooth Fuzzy Models. - Ebrahim Navid Sadjadi; Maryam Ebrahimi; Zahra Gachloo (CCECE, 2020)

Stability Analysis of Smooth Positive Fuzzy Systems. - Ebrahim Navid Sadjadi; Mohammad Bagher Menhaj; Danial Sadrian Zadeh; Behzad Moshiri (CCECE, 2020)

Fuzzy Adaptive Control of a Knee-Joint Orthosis for the Smooth Tracking. - Ebrahim Navid Sadjadi; Mohammad Bagher Menhaj; Danial Sadrian Zadeh; Behzad Moshiri (CCECE, 2020)

Training Error Approximation Through the State-Space Representation of the Fuzzy Model. - Danial Sadrian Zadeh; Ebrahim Navid Sadjadi; Behzad Moshiri (ACC, 2021)

On the Monotonicity of Smooth Fuzzy Systems. - Ebrahim Navid Sadjadi (IEEE Trans. Fuzzy Syst., 2021)

Smooth compositions are candidates for robust fuzzy systems. - Ebrahim Navid Sadjadi (Fuzzy Sets Syst., 2022)

Smooth Compositions Made Stabilization of Fuzzy Systems: Easy and More Robust. - Ebrahim Navid Sadjadi (IEEE Trans. Cybern., 2022)

Smooth compositions enhance safety of the fuzzy systems. - Ebrahim Navid Sadjadi (Fuzzy Sets Syst., 2024)

LMI-Based Tracking Control of the Fuzzy Systems: Smooth Compositions Work Better. - Ebrahim Navid Sadjadi (Int. J. Fuzzy Syst., 2024)