Publicaciones

• Article dans une revue

Reduced-order model based dynamic tracking for soft manipulators: Data-driven LPV modeling, control design and experimental results

Shijie Li, Tran Anh-Tu Nguyen, Thierry-Marie Guerra, Alexandre Kruszewski

We propose a generic nonlinear reduced-order tracking control method for elastic soft robots. To this end, a new linear parameter varying (LPV) control framework is developed using the data collected from the soft robots. Specifically, for LPV modeling we first derive a nonlinear robot model, which...

Control Engineering Practice, 2023, 138, pp.105618. ⟨10.1016/j.conengprac.2023.105618⟩. ⟨hal-04278797⟩

• Article dans une revue

Covering delivery problem with electric vehicle and parcel lockers: Variable neighborhood search approach

Milena Vukićević, Mustapha Ratli, Atika Rivenq, Maria Zrikem

AbstractMinimizing total delivery time and carbon footprint in last mile delivery presents a real challenge in logistic field. Usage of electric vehicles in combination with parcel lockers responds to these challenges. In this paper we introduce the covering delivery problem in last mile with...

Computers and Operations Research, 2023, 157, pp.106263. ⟨10.1016/j.cor.2023.106263⟩. ⟨hal-04107408⟩

• Article dans une revue

A redesign methodology generating predefined‐time differentiators with bounded time‐varying gains

Rodrigo Aldana-López, Richard Seeber, David Gómez-Gutiérrez, Marco Tulio Angulo, Michael Defoort

Abstract There is an increasing interest in designing differentiators, which converge exactly before a prespecified time regardless of the initial conditions, that is, which are fixed‐time convergent with a predefined upper bound of their settling time (UBST), due to their ability to solve...

International Journal of Robust and Nonlinear Control, 2023, 33 (15), pp.9050-9065. ⟨10.1002/rnc.6315⟩. ⟨hal-04217715⟩

• Article dans une revue

Fuzzy multi-objective truck scheduling in multi-modal rail–road Physical Internet hubs

Fatma Essghaier, Tarik Chargui, Tiente Hsu, Abdelghani Bekrar, Hamid Allaoui, Damien Trentesaux, Gilles Goncalves

The Physical Internet (PI) is an innovative concept that has the potential to significantly improve the efficiency, cost-effectiveness, and sustainability of the global supply chain industry, particularly in cross-docking operations. This paper addresses the truck-scheduling problem in rail–road PI...

Computers & Industrial Engineering, 2023, 182, pp.109404. ⟨10.1016/j.cie.2023.109404⟩. ⟨hal-04190449⟩

• Article dans une revue

Height Fluctuations and Surface Gradients in Topographic Measurements

Julie Lemesle, Clement Moreau, Raphael Deltombe, Joseph Martin, François Blateyron, Maxence Bigerelle, Christopher Brown

Topographic maps are composed of pixels associated with coordinates (x, y, z) on a surface. Each pixel location (x, y) is linked with fluctuations in a measured height sample (z). Fluctuations here are uncertainties in heights estimated from multiple topographic measurements at the same position....

Materials, 2023, 16 (15), pp.5408. ⟨10.3390/ma16155408⟩. ⟨hal-04489050⟩

• Article dans une revue

Experimental investigation of additives effect on olive pomaces pyrolysis: Oyster shells and olive mill waste water

Mansoura Salhi, Emna Berrich, Mehrez Romdhane, Fethi Aloui

The effects of adding solid additive Oyster Shells (OS) and liquid additive Olive Mill Waste Water (OMWW) on product yields and properties were investigated and presented during the slow pyrolysis of Olive Pomace (OP) in a lab-scale batch reactor. OP impregnation with OMWW has improved the bio-oil...

Biomass and Bioenergy, 2023, 175, pp.106815. ⟨10.1016/j.biombioe.2023.106815⟩. ⟨hal-04163779⟩

• Article dans une revue

Deep Reinforcement Learning Based Decision-Making Strategy of Autonomous Vehicle in Highway Uncertain Driving Environments

Huifan Deng, Youqun Zhao, Qiuwei Wang, Anh-Tu Nguyen

Uncertain environment on multi-lane highway, e.g., the stochastic lane-change maneuver of surrounding vehicles, is a big challenge for achieving safe automated highway driving. To improve the driving safety, a heuristic reinforcement learning decision-making framework with integrated risk...

Automotive Innovation, 2023, 6 (3), pp.438-452. ⟨10.1007/s42154-023-00231-6⟩. ⟨hal-04278808⟩

• Article dans une revue

Multi-objective reinforcement learning-based framework for solving selective maintenance problems in reconfigurable cyber-physical manufacturing systems

Fatima Ezzahra Achamrah, Ali Attajer

Unlike mass production manufacturing systems, where configurations are rarely changed after the initial design, reconfigurable cyber-physical systems (RCPMS) self-change their structures throughout missions and thus self-adjust production in response to demand requirements. Accordingly, such a...

International Journal of Production Research, 2023, pp.1-23. ⟨10.1080/00207543.2023.2240433⟩. ⟨hal-04171570⟩

• Article dans une revue

Unknown input observers for time-varying delay Takagi–Sugeno fuzzy systems with unmeasured nonlinear consequents

Márcia L.C. Peixoto, Anh-Tu Nguyen, Thierry-Marie Guerra, Reinaldo Palhares

This paper investigates the problem of unknown input observer (UIO) design for Takagi–Sugeno (TS) fuzzy systems with time-varying delay. For observer design, all the unmeasured nonlinearities are isolated in the nonlinear consequent parts of TS fuzzy systems. This allows dealing with the well-known...

European Journal of Control, 2023, 72, pp.100830. ⟨10.1016/j.ejcon.2023.100830⟩. ⟨hal-04278814⟩

• Article dans une revue

Guest editorial introduction to the special issue on “Emerging control and automation technologies for advanced mechatronic systems”

Anh-Tu Nguyen, Truong Quang Dinh, Junjie Chong, Makoto Iwasaki, Radu-Emil Precup, Michael Ruderman

Control Engineering Practice, 2023, 136, pp.105532. ⟨10.1016/j.conengprac.2023.105532⟩. ⟨hal-04278887⟩