1. Zaidi, S.   System Identification of Stochastic Nonlinear Dynamic Systems using Takagi-Sugeno Fuzzy Models.   Dissertation, Schriftenreihe Mess- und Regelungstechnik der Universität Kassel, October 2018.
2. Zaidi, S.; Kroll, A.   NOE TS Fuzzy Modelling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-valued data.   In Applied Soft Computing, Vol. 57, pp. 353-362, 2017.
3. Zaidi, S.; Kroll, A.   On Interval-valued-data Type-1 Takagi-Sugeno fuzzy systems for uncertain nonlinear dynamic system identification.   In at -- Automatisierungstechnik, Vol. 64, No. 6, pp. 418 -- 427, 2016.
4. Zaidi, S.; Kroll, A.   A Novel Approach to T-S Fuzzy Modeling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-Valued Outputs.   In Proceedings of the 17th IFAC Symposium on System Identification (SysID), pp. 1196 -- 1201, Beijing, China, October 19-21 2015.
5. Zaidi, S.; Kroll, A.   Electro-Mechanical Throttle as a Benchmark Problem for Nonlinear System Identification with Friction.   In 24. Workshop Computational Intelligence, pp. 173-186, Dortmund, 27.-28. November 2014. GMA-FA 5.14, KIT Scientific Publishing.
6. Zaidi, S.; Kroll, A.   On Identifying Envelop Type Nonlinear Output Error Takagi-Sugeno Fuzzy Models for Dynamic Systems with Uncertainties.   In 19th IFAC World Congress, pp. 3226-3231, Cape Town, South Africa, 24-29. August 2014.
7. Zaidi, S.; Kroll, A.   On identifying nonlinear envelop type dynamical T-S fuzzy models for systems with uncertainties: method and application to electro-mechanical throttle.   In 23. Workshop Computational Intelligence, pp. 129-143, Dortmund, 5-6. Dezember 2013. GMA-FA 5.14, KIT Scientific Publishing.
8. Zaidi, S.; Kroll, A.; Sommer, H.-J.   On Description and Identification of Uncertainties in System Modeling with Fuzzy Logic.   In Hoffmann, F.; Hüllermeier, E., editors, 22. Workshop Computational Intelligence, pp. 179-199, Dortmund, 6-7. Dezember 2012. GMA-FA 5.14, KIT Scientific Publishing.