Ouvrages

  1. Bedoui, H., Kheder A.,& Ben Othman,K. (2015). Détection and isolation for anuncertain Takagi-Sugeno fuzzy system using the interval approach, in Handbook of Reasearch on Advanced Intelligent Control Engineering and Automation, ed: IGI Global, DOI: 10.4018 / 978-1-4666-7248-2.

  2. Khalfa, S., Rokbani, N., Telmoudi, A.J., Zoubida, A.M., & Nabli, L. (2017). PSO for job-shop scheduling with multiple operating sequences problem – JS. Advances in Intelligent Systems and Computing, 552, pp. 558-566.

  3. Liouane, Z., Lemlouma, T., Roose, P., Weis, F., & Messaoud, H. (2017). An improved elman neural network for daily living activites recognition. Advances in Intelligent System and Computing, Vol 557, pp. 697-707.
  4. Liouane, Z., Lemlouma, T., Roose, P., Weis, F., & Messaoud, H. (2017). A genetic neural network approach for unusual behavior prediction in smart home. Advances in Intelligent Systems and Computing, 557, pp. 738-748.
  5. Benamor, A., & Messaoud, H. (2019). Robust adaptive control for system with unknown time varying delay, LAP LAMBERT Academic Publishing.
  6. Mbarek, A., Garna, T., & Bouzrara, K. (2020). System modeling based on ARX-Laguerre bases: system modeling based on laguerre bases with filters on model input and output, LAP LAMBERT Academic Publishing.
  7. Fezai R.,Taouali O., Mansouri M.., Harkat M.F. & Bouguila N. (2020). Sensor Fault Detection and Isolation Based on Variable Moving Window KPCA. Studies in Systems, Decision and Control. 269, pp. 31–54
  8. Bouaafia, S., Khemiri, R., Sayadi, F. E., Atri, M., & Liouane, N. (2020). A deep cnn-lstm framework for fast video coding. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial). 12119 LNCS, pp. 205–212.
  9. Fezai R., Mansouri M., Nounou H., Nounou M. & Messaoud, H. (2021). Fault Diagnosis for Nonlinear Biological Processes Based on Machine Learning Models. Smart Sensors, Measurement and Instrumentation, 39, pp. 77-91.
  10. Neffati S.., Taouali O., & Bouzrara, K. (2021). Biomedical Computer Aided Design Systems: Application to Alzheimer Disease. Smart Sensors, Measurement and Instrumentation, 40, pp. 285–303.
  11. Mbarek, A., Garna, T., & Bouzrara, K. (2021). Model Predictive control of multi-input multi-output systems: model Predictive control of multi-input multi-output systems using reduced complexity ARX-Laguerre MIMO model, LAP LAMBERT Academic Publishing.
  12. Jablaoui, A., Kmimech, H., Sliman, L., & Nabli, L. (2021). A Rank based aco approach for optimal resource allocation and scheduling in fms modeled with labelled petri net. Frontiers in Artificial Intelligence and Applications, 2021, 337, pp. 688–699. 
  13. Marouani, G., Dinh, T.N., Wang, Z., Raïssi, T., Messaoud, H. (2022). Interval Observers Design for Discrete-Time Linear Switched Systems. Studies in Systems, Decision and Control, 2022, 414, pp. 245–268.
  14. Mbarek, A. (2022). Modélisation et commande prédictive des systèmes complexes. Identification and control with optimal representation using orthogonal. ISBN: 978-620-3-43458-3.
  15. Ghrab, S., Ahmed Ali, S., Langlois, N., Messaoud, H. (2022). Robust Observer-Based Discrete-Time Sliding Mode Control for Systems with Time-Varying Delay, Hölder Nonlinearities, and Unmatched UBB Uncertainties. 15th European Workshop on Advanced Control and Diagnosis (ACD 2019), 829-849.
  16. Ben Afia, N., & Messaoud, H. (2023). Closed Loop Control Approaches for Conflicted Timed Event Graphs Subject to Constraints with Dioid Algebra. Model Predictive Control.
  17. Miri, D., Khedher, A., Belkhiria, K., & Guerfel. (2023). Artificial Neural Network Design for Non Linear Takagi–Sugeno Systems: Application to Tracking of Trajectory, State and Fault Estimation of MIABOT Robot. State Estimation and Stabilization of Nonlinear Systems (pp.291-317).