Type-1 and Type-2 Fuzzy Techniques: Application to Robotic Systems

Author:

Cherroun Lakhmissi,Nadour Mohamed,Kouzou Abdellah,Boumehraz Mohamed

Publisher

Springer Nature Singapore

Reference36 articles.

1. Allawi, Z.T., Abdalla, T.Y.: A pso-optimized type-2 fuzzy logic controller for navigation of multiple mobile robots. In: 2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 33–39 (2014)

2. Astudillo, L., Castillo, O., Aguilar, L.T.: Intelligent control for a perturbed autonomous wheeled mobile robot: Type-2 fuzzy logic approach. NonlinearStudies 14(1) (2007)

3. Azar, A.T.: Overview of type-2 fuzzy logic systems. Int. J. Fuzzy Syst. Appl. (IJFSA) 2(4), 1–28 (2012)

4. Baklouti, N., John, R., Alimi, A.M., et al.: Interval type-2 fuzzy logic control of mobile robots. J. Intell. Learn. Syst. Appl. 4(04), 291 (2012)

5. Beyerer, J., Kühnert, C., Niggemann, O.: Machine Learning for Cyber Physical Systems: Selected Papers from the International Conference ML4CPS 2018. Springer Nature (2019)

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