M
Mojtaba Ahmadieh Khanesar
Researcher at University of Nottingham
Publications - 103
Citations - 2002
Mojtaba Ahmadieh Khanesar is an academic researcher from University of Nottingham. The author has contributed to research in topics: Fuzzy logic & Fuzzy control system. The author has an hindex of 23, co-authored 96 publications receiving 1695 citations. Previous affiliations of Mojtaba Ahmadieh Khanesar include K.N.Toosi University of Technology & Semnan University.
Papers
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Journal ArticleDOI
Feedback Error Learning Control of Magnetic Satellites Using Type-2 Fuzzy Neural Networks With Elliptic Membership Functions
TL;DR: A sliding mode control theory-based learning algorithm is proposed for an interval type-2 fuzzy logic system which benefits from elliptic type- 2 fuzzy MFs and the stability of the overall system is shown by adding an additional component to the control scheme to ensure robustness.
Proceedings ArticleDOI
A novel type-2 fuzzy membership function: application to the prediction of noisy data
TL;DR: It has been shown that the type-2 fuzzy system using this type of membership function introduced in this study has some noise reduction property in the presence of noisy inputs.
Journal ArticleDOI
Novel LevenbergMarquardt based learning algorithm for unmanned aerial vehicles
TL;DR: The LevenbergMarquardt inspired sliding mode control theory based adaptation laws are proposed to train an intelligent fuzzy neural network controller for a quadrotor aircraft in the presence of periodic wind gust.
Book
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
TL;DR: This book can be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy Neural networks or artificial intelligence in master or doctorate university studies.
Journal ArticleDOI
Improving the Speed of Center of Sets Type Reduction in Interval Type-2 Fuzzy Systems by Eliminating the Need for Sorting
TL;DR: Using the reformulations proposed in this paper for center of sets type reducer, it is possible to eliminate the need for sorting, which makes interval type-2 fuzzy systems more appropriate for cost-sensitive real-time applications.