Laboratoire d'Automatique et Informatique de Guelma

The LAIG - is a research laboratory officially approved on 05 February 2001 with a staff of 31 and currently has 44 researchers grouped into 4 teams. He is attached to the university 8 May 1945 of Guelma - Algeria - and has a management autonomy. Among the objectives that the LAIG has set in the short term: Contribute to the development of the country and in particular its universities. To this end, the LAIG undertakes to: train highly qualified specialized researchers. Participate in research related directly to the development of the different sectors. Contribute to the development of universal human science and knowledge by participating in national and international research programs.
ICSIP’13

International Conference on Systems and Information processing (ICSIP’13 May 12-14, 2013, Guelma, Algeria)
Training Day on Solar Photovoltaic Energy

On the occasion of World Earth Day, Laboratoire d'Automatique et Informatique de Guelma - LAIG - organizes a Training Day on Solar Photovoltaic Energy "JFS.PV'18", Hybrid System on 22.04.2018, at the Conference Room of the Central Library of the Université du 8 Mai 1945 Guelma. The day will be animated by a group of specialists in photovoltaic solar energy, under the direction of Mr. Hmide tAzzouzi, Member of the Cambridge Academy for Research and Studies. You are strongly encouraged to attend this training.

International Publications 2022

laig

Sebbagh, A., & Kechida, S. (2022). EKF-SIRD model algorithm for predicting the coronavirus (COVID-19) spreading dynamics. Scientific Reports, 12(1), 13415.
https://www.nature.com/articles/s41598-022-16496-6
Aidoud, M., Feliu-Batlle, V., Sebbagh, A., & Sedraoui, M. (2022). Small signal model designing and robust decentralized tilt integral derivative TID controller synthesizing for twin rotor MIMO system. International Journal of Dynamics and Control, 10(5), 1657-1673.
http://link.springer.com/article/10.1007/s40435-022-00916-6
Hassainia, S., Ladaci, S., Kechida, S., & Khelil, K. (2022). Impact of fractional filter in PI control loop applied to induction motor speed drive.
http://eie.khpi.edu.ua/article/view/263251
Gasmi, H., Mendaci, S., Laifa, S., Kantas, W., & Benbouhenni, H. (2022). Fractional-order proportional-integral super twisting sliding mode controller for wind energy conversion system equipped with doubly fed induction generator. Journal of Power Electronics, 22(8), 1357-1373.
https://link.springer.com/article/10.1007/s43236-022-00430-0#citeas
Harrou, F., Dairi, A., Zeroual, A., & Sun, Y. (2022). Forecasting of Bicycle and Pedestrian Traffic Using Flexible and Efficient Hybrid Deep Learning Approach. Applied Sciences, 12(9), 4482.
https://www.mdpi.com/2076-3417/12/9/4482