Publications

Affichage de 641 à 650 sur 6419


  • Communication dans un congrès

Takagi-Sugeno Fuzzy Fault Detector Design with Finite-Frequency Specifications for Autonomous Ground Vehicles

Shengxiang Wang, Jun-Tao Pan, Tran Anh-Tu Nguyen, Thierry-Marie Guerra, Jimmy Lauber

This paper investigates the steering fault detection problem for autonomous ground vehicles (AGVs). Using an observer-based approach, a new fuzzy fault detector for steering actuator is designed for safety concern. To this end, a two degrees-of-freedom (2-DOF) nonlinear vehicle model is adopted to…

4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Jul 2021, Valenciennes, France. pp.195-200, ⟨10.1016/j.ifacol.2021.10.033⟩. ⟨hal-03408010⟩

  • Communication dans un congrès

Robust Zonotopic Observer Design: Avoiding Unmeasured Premise Variables for Takagi-Sugeno Fuzzy Systems

Masoud Pourasgharlafmejani, Tran Anh-Tu Nguyen, Thierry-Marie Guerra

This paper addresses the design of a robust set-based interval observer for a nonlinear discrete-time system affected by system uncertainty (state disturbance and measurement noise) using a Takagi-Sugeno (TS) fuzzy model including an unmeasurable premise variable. The effect of unmeasurable premise…

4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Jul 2021, Valenciennes, France. pp.68-73, ⟨10.1016/j.ifacol.2021.10.012⟩. ⟨hal-03408001⟩

  • Communication dans un congrès

Design of sliding mode observer for the estimation of train car positions and in-train forces

Fawzia Bouchama, Michael Defoort, Denis Berdjag, Jimmy Lauber

For the control design of freight trains, the estimation of in-train forces is crucial to avoid safety issues caused by the possible failure of car couplers under excessive stress. However, the in-train forces and the relative positions of adjacent train cars are not directly measurable. To address…

4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Jul 2021, Valenciennes, France. ⟨10.1016/j.ifacol.2021.10.017⟩. ⟨hal-03407154⟩

  • Communication dans un congrès

Choosing an Adequate Convex Structure for Controller and Observer Gains in Takagi-Sugeno Control Systems

J. L Ortiz, Thierry-Marie Guerra, Víctor Estrada Manzo, Jimmy Lauber

This work presents a methodology to choose the convex structure for nonlinear gains in approaches based on Takagi-Sugeno models. The proposal faces the problem of numerical complexity in LMI-based approaches within this area; it gives a finer convex structure for controller and observer matrices…

4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control (CESCIT 2021), Jul 2021, Valenciennes, France. pp.206-211, ⟨10.1016/j.ifacol.2021.10.035⟩. ⟨hal-03408030⟩

  • Communication dans un congrès

LMI-Based Anti-Windup Control Design for Discrete-Time Switched Systems With Actuator Saturation

Smail Houti, Denis Berdjag, Michael Defoort, Jimmy Lauber

4th IFAC CESCIT 2021, Embedded Systems, Computational Intelligence and Telematics in Control, Jul 2021, Valenciennes (en ligne), France. ⟨hal-04239523⟩

  • Communication dans un congrès

Stability of Neural-Network Based Train Cruise Advisory Control with Aperiodical Measurements

Ayush Kumar Jain, Denis Berdjag, Christophe Fiter, Philippe Polet

In this paper, a neural-network based driver advisory train cruise control system is considered. The controller assists the train driver with advisory signals by considering train and driver's actual state information (attention and fatigue) measured by dedicated sensors. Considering delays in…

4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2021, Jul 2021, Valenciennes, France. pp.92-97, ⟨10.1016/j.ifacol.2021.10.016⟩. ⟨hal-03407136⟩

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