Komi Midzodzi Pekpe
Orcid: 0000-0002-6087-416X
According to our database1,
Komi Midzodzi Pekpe
authored at least 16 papers
between 2004 and 2024.
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Bibliography
2024
Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers.
Neurocomputing, 2024
Eng. Appl. Artif. Intell., 2024
2023
FDI-X: An Occlusion-based Approach for Improving the Explainability of Deep Learning Models in Fault Detection and Isolation.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023
2022
From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19.
Appl. Intell., 2022
2019
Necessary and Sufficient Condition for Controlled Distinguishability of Continuous-Time Bilinear Systems.
IEEE Trans. Autom. Control., 2019
2018
Robust discerning controls for the operating modes of linear switched systems subject to bounded unknown inputs.
Autom., 2018
2017
Conditions for strict distinguishability of single-output nonlinear control-affine systems.
Syst. Control. Lett., 2017
2016
On the Input-Output Distinguishability of Single Output Continuous Linear Time-Invariant Systems.
IEEE Trans. Autom. Control., 2016
Switching time estimation and active mode recognition using a data projection method.
Int. J. Appl. Math. Comput. Sci., 2016
2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2011
Data projection method for sensor Fault Detection and Isolation on nonlinear systems based on Takagi Sugeno model.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2007
Proceedings of the FUZZ-IEEE 2007, 2007
2006
Proceedings of the 2nd IFAC Conference on Analysis and Design of Hybrid Systems, 2006
2004
Identification of switching systems using change detection technique in the subspace framework.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004