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 2020

laig

Loucif, F., Kechida, S., & Sebbagh, A. (2020). Whale optimizer algorithm to tune PID controller for the trajectory tracking control of robot manipulator. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42(1), 1-11.
http://10.3934/dcdsb.2020247
Tebbikh, R., Tebbikh, H., & Kechida, S. (2020). Passive optimal feedback control of an articulated flexible arm. Journal of Vibration and Control, 1077546320956763.
http://doi.org/10.1007/s40430-019-2074-3.
Achbi, M. S., & Kechida, S. (2020). Methodology for monitoring and diagnosing faults of hybrid dynamic systems: a case study on a desalination plant. Diagnostyka, 21.
http://doi.org/10.29354/diag/116076
Loucif, F., & Kechida, S. (2020). Optimization of sliding mode control with PID surface for robot manipulator by Evolutionary Algorithms. Open Computer Science, 10(1), 396-407.
http://doi.org/10.1515/comp-2020-0144
Achbi, M. S., Mhamdi, L., Kechida, S., & Dhouibi, H. (2020). Methodology to knowledge discovery for fault diagnosis of hybrid dynamical systems: demonstration on two tanks system. Diagnostyka, 21.
http://doi.org/10.29354/diag/130617
Mhamdi, L., Achbi, M. S., Dhouibi, H., & Kechida, S. (2020). Diagnosis of hybrid systems through bond graph, observers and timed automata. Diagnostyka, 21.
http://doi.org/10.29354/diag/126444