Basil Al-Hadithi

Experience of Basil Al-Hadithi

Basil Mohammed Al-Hadithi received his B.Sc. degree in Control and System Engineering and his M.Sc. Engineering degree in Control and Instrumentation in 1983 and 1988 respectively. He received his Ph.D. degree in Process Control and Artificial Intelligence from the Universidad Politécnica de Madrid, in 2002.
He was an Assistant Professor at university of Technology from 1990–1995, Baghdad, Iraq. From 1999–2009 he was an associate Professor at the Electronic and Systems Department at Universidad Alfonso X El Sabio, Madrid, Spain. Since 2009, he has been as an associate professor with the Universidad Politécnica de Madrid where he is engaged in teaching and research activities in the area of control theory and fuzzy control. His research interests include variable structure control, optimal control and
fuzzy modelling and control. He is the author and co-author of various books, journal and conference articles.

Email: basil.alhadithi@upm.es

Category: Prof. Titular

Position:  

Research Group: Intelligent Control

H-Index (Scopus): 11

Articles by Relevance (Most Cited in Scopus)

Authors

Title

Year

Publication

Citations

Al-Hadithi B. Jimenez A. Matía F.
A new approach to fuzzy estimation of Takagi-Sugeno model and its applications to optimal control for nonlinear systems
2012
Applied Soft Computing Journal
39
Matía F. Jimenez Avello A. Al-Hadithi B. Rodriguez-Losada D. Galan R.
The fuzzy Kalman filter: State estimation using possibilistic techniques
2006
Fuzzy Sets and Systems
37
Barragan A.J. Al-Hadithi B. Jimenez Avello A. Andujar J.M.
A general methodology for online TS fuzzy modeling by the extended Kalman filter
2014
Applied Soft Computing Journal
26
Jimenez Avello A. Al-Hadithi B. Matía F. Haber-Haber R.
Improvement of Takagi-Sugeno fuzzy model for the estimation of nonlinear functions
2012
Asian Journal of Control
20
Adanez J.M. Al-Hadithi B. Jimenez Avello A.
Multidimensional membership functions in T–S fuzzy models for modelling and identification of nonlinear multivariable systems using genetic algorithms
2019
Applied Soft Computing Journal
15

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