Publications

• COMM

Reduced-Complexity Affine Representation for Takagi-Sugeno Fuzzy Systems

Amine Dehak, Tran Anh-Tu Nguyen, Antoine Dequidt, Laurent Vermeiren, Michel Dambrine

This paper presents a systematic approach to reduce the complexity of sector nonlinearity TS fuzzy models using existing linear dependencies between local linear submodels. The proposed approach results in a decrease of the fuzzy model rules from 2P to p + 1 rules while maintaining equivalence to…

21st IFAC (International Federation of Automatic Control) IFAC World Congress, Jul 2020, Berlin, Germany. pp.8031-8036, ⟨10.1016/j.ifacol.2020.12.2235⟩. ⟨hal-03405660⟩

• PROCEEDINGS

Tangible interaction on RFID tabletops in centralized and distributed contexts

Christophe Kolski

Tutorial, 19th Brazilian Symposium on Software Quality, Dec 2020, Brazil. 2020. ⟨hal-03388544⟩

• COUV

Modeling and Optimization in Manufacturing by Hydroforming and Stamping

Hakim Naceur, Waseem Arif

Hydroforming and stamping processes are important in several industrial sectors, and the simulation of these processes needs to be continuously enhanced. Since the last recent years, new challenging expectations have arisen regarding a higher level of quality commitment of sheet metal forming parts…

J. Jiang; C. Pruncu. Modeling and Optimization in Manufacturing, Wiley-VCH Verlag GmbH & Co. KGaA, pp.13-47, 2020, 978-3-527-34694-3. ⟨10.1002/9783527825233.ch1⟩. ⟨hal-03431993⟩

• REPORT

Tabu Search for a Parallel-Machine Scheduling Problem with Job Rejection, Inventory Penalties and Periodic Maintenance.

Hanane Krim, Nicolas Zufferey, Jean-Yves Potvin

We consider in this work a bicriteria scheduling problem on two different parallel machines with a periodic preventive maintenance policy. The two objectives considered involve minimization of job rejection costs and weighted sum of completion times. They are handled through a lexicographic…

[Research Report] CIRRELT; LAMIH, Université Polytechnique des Hauts-de-France. 2020. ⟨hal-03388837⟩

• COMM

Vehicles Tracking by Combining Convolutional Neural Network Based Segmentation and Optical Flow Estimation

Tuan-Hung Vu, Jacques Boonaert, Sebastien Ambellouis, Abdelmalik Taleb-Ahmed

Object tracking is an important proxy task towards action recognition. The recent successful CNN models for detection and segmentation, such as Faster R-CNN and Mask R-CNN lead to an effective approach for tracking problem: tracking-by-detection. This very fast type of tracker takes into account…

ACIVS 2020, 20th International Conference on Advanced Concepts for Intelligent Vision Systems, Feb 2020, Auckland, New Zealand. pp529-540, ⟨10.1007/978-3-030-40605-9_45⟩. ⟨hal-02960349⟩

• COMM

Automatic generation of personalized applications based on social media

Nadia Chouchani, Mourad Abed

In this work, we present a contextual personalization method based on users' interests and social neighborhoods. It is implemented by proposing an approach to automatically generate personalized interactive applications based on social media platforms. The shared contents, designed by…

11th International Conference on Ambient Systems, Networks and Technologies, ANT 2020 / 3rd International Conference on Emerging Data and Industry 4.0, EDI40 2020 / Affiliated Workshops, Apr 2020, Warsaw, Poland. pp.825 - 830, ⟨10.1016/j.procs.2020.03.149⟩. ⟨hal-03690724⟩

• COMM

On the Discretization of Robust Exact Filtering Differentiators

Jose Eduardo Carvajal Rubio, Juan Diego Sanchez-Torres, Michael Defoort, Alexander Loukianov

The calculation of time derivatives has a state-space representation of the form of a perturbed linear system. This description enables the application of the so-called robust filtering differentiator, i.e. a non-linear state observer with extended state and homogeneous input injection terms.…

21st IFAC World Congress, Jul 2020, Berlin, Germany. pp.5153-5158, ⟨10.1016/j.ifacol.2020.12.1179⟩. ⟨hal-03405590⟩

• ART

Adapted visual analytics process for intelligent decision-making

Hela Ltifi, Emna Benmohamed, Christophe Kolski, Mounir Ben Ayed

The theoretical and practical researches on Visual Analytics for intelligent decision-making tasks have remarkably advanced in the past few years. Intelligent Decision Support Systems (IDSS) introduce effective and efficient paths from raw data to decision by involving visualization and data mining…

International Journal of Information Technology and Decision Making, 2020, 19 (1), pp.241-282. ⟨10.1142/S0219622019500470⟩. ⟨hal-03274913⟩

• REPORT

State of the art of HMI in transport industries

Livia Maria Gandini, Stefano Ricci, Frédéric Vanderhaegen, Simon Enjalbert

[Research Report] Université polytechnique Hauts-de-France. 2020. ⟨hal-03646890⟩

• COMM

Copositive Conditions for LMI-Based Controller and Observer Design

Juan Carlos Arceo Luzanilla, Jimmy Lauber

In this report we illustrate that nonlinear control and observer design can be described as a Positivstellensatz problem, we consider a quadratic candidate function to stabilize nonlinear systems that have been modeled via the nonlinear sector methodology as an exact convex representation. New…

21st IFAC World Congress, Jul 2020, Berlin, Germany. pp.7959-7964, ⟨10.1016/j.ifacol.2020.12.2195⟩. ⟨hal-03406734⟩