Identification of switching systems using change detection technique in the subspace framework. - Komi Midzodzi Pekpe; Gilles Mourot; Komi Gasso; José Ragot (CDC, 2004)

Online Classification of switching Models based on subspace Framework. - Komi Midzodzi Pekpe; Stéphane Lecoeuche (ADHS, 2006)

Identification of MIMO Takagi-Sugeno model of a bioreactor. - Komi Midzodzi Pekpe; Jean-Philippe Cassar; Salah Chenikher (FUZZ-IEEE, 2007)

Sensor fault diagnosis for bilinear systems using data-based residuals. - Assia Hakem; Komi Midzodzi Pekpe; Vincent Cocquempot (CDC/ECC, 2011)

Data projection method for sensor Fault Detection and Isolation on nonlinear systems based on Takagi Sugeno model. - Talel Zouari; Komi Midzodzi Pekpe; Vincent Cocquempot; Moufida Ksouri (CDC/ECC, 2011)

Operating modes distinguishability condition in switching systems. - Koffi M. Djidula Motchon; Komi Midzodzi Pekpe; Jean-Philippe Cassar; Stephan De Bievre; Vincent Cocquempot (CDC, 2013)

Data-projection method for actuator fault detection and estimation. - Assia Hakem; Vincent Cocquempot; Komi Midzodzi Pekpe (ICCA, 2013)

Switching time estimation and active mode recognition using a data projection method. - Assia Hakem; Vincent Cocquempot; Komi Midzodzi Pekpe (Int. J. Appl. Math. Comput. Sci., 2016)

On the Input-Output Distinguishability of Single Output Continuous Linear Time-Invariant Systems. - Koffi M. Djidula Motchon; Komi Midzodzi Pekpe; Jean-Philippe Cassar; Stephan De Bievre (IEEE Trans. Autom. Control., 2016)

Conditions for strict distinguishability of single-output nonlinear control-affine systems. - Koffi M. Djidula Motchon; Komi Midzodzi Pekpe; Jean-Philippe Cassar (Syst. Control. Lett., 2017)

Robust discerning controls for the operating modes of linear switched systems subject to bounded unknown inputs. - Koffi M. Djidula Motchon; Komi Midzodzi Pekpe; Jean-Philippe Cassar (Autom., 2018)

Necessary and Sufficient Condition for Controlled Distinguishability of Continuous-Time Bilinear Systems. - Koffi M. Djidula Motchon; Komi Midzodzi Pekpe (IEEE Trans. Autom. Control., 2019)

From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. - Komi Midzodzi Pekpe; Djamel Zitouni; Gilles Gasso; Wajdi Dhifli; Benjamin C. Guinhouya (Appl. Intell., 2022)

FDI-X: An Occlusion-based Approach for Improving the Explainability of Deep Learning Models in Fault Detection and Isolation. - Balyogi Mohan Dash; Belkacem Ould Bouamama; Komi Midzodzi Pekpe; Mahdi Boukerdja (ICCAD, 2023)

Bond Graph-CNN based hybrid fault diagnosis with minimum labeled data. - Balyogi Mohan Dash; Belkacem Ould Bouamama; Mahdi Boukerdja; Komi Midzodzi Pekpe (Eng. Appl. Artif. Intell., 2024)

Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers. - Balyogi Mohan Dash; Belkacem Ould Bouamama; Komi Midzodzi Pekpe; Mahdi Boukerdja (Neurocomputing, 2024)