Publications

Affichage de 1111 à 1120 sur 5406


  • Communication dans un congrès

Simultaneous Estimation of State and Unknown Input for TS Fuzzy Systems with Unmeasured Premise Variables

Jun-Tao Pan, Tran Anh-Tu Nguyen, Thierry-Marie Guerra, Jimmy Lauber, Weiwei Zhang

Designing unknown input (UI) observers for Takagi-Sugeno (TS) fuzzy systems is known as a challenging issue, especially when the premise variables are unmeasured. This paper presents a new approach to deal with unmeasured premise variables in UI observer design for discrete-time TS fuzzy systems.…

2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), May 2020, Cluj-Napoca, Romania. pp.1-6, ⟨10.1109/AQTR49680.2020.9129929⟩. ⟨hal-03406040⟩

  • Communication dans un congrès

Nonlinear Convex Control Design for Differential Algebraic Equation Systems via LMIs

Juan Carlos Arceo Luzanilla, Jimmy Lauber

This document presents an approach for nonlinear control design in singular systems by combining Lyapunov's direct method with exact convex structures. The conditions obtained are given in terms of linear matrix inequalities, the methodology proposed is illustrated by applying the nonlinear…

2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), May 2020, Cluj-Napoca, Romania. pp.1-6, ⟨10.1109/AQTR49680.2020.9129973⟩. ⟨hal-03406050⟩

  • Communication dans un congrès

Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting

Rachda Naila Mekhaldi, Patrice Caulier, Sondès Chaabane, Abdelahad Chraibi, Sylvain Piechowiak

Proper prediction of Length Of Stay (LOS) has become increasingly important these years. The LOS prediction provides better services, managing hospital resources and controls their costs. In this paper , we compared two Machine Learning (ML) methods on the Microsoft available dataset. This data are…

8th World Conference on Information Systems and Technologies (WorldCIST’2020), Apr 2020, Budva, Montenegro. pp.202-211, ⟨10.1007/978-3-030-45688-7_21⟩. ⟨hal-03381824⟩

  • Chapitre d'ouvrage

Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting

Rachda Naila Mekhaldi, Patrice Caulier, Sondès Chaabane, Abdelahad Chraibi, Sylvain Piechowiak

Proper prediction of Length Of Stay (LOS) has become increasingly important these years. The LOS prediction provides better services, managing hospital resources and controls their costs. In this paper, we implemented and compared two Machine Learning (ML) methods, the Random Forest (RF) and the…

Trends and Innovations in Information Systems and Technologies, 1159, Springer International Publishing, pp.202-211, 2020, Advances in Intelligent Systems and Computing, 978-3-030-45688-7. ⟨10.1007/978-3-030-45688-7_21⟩. ⟨hal-03696678⟩

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