Informatique, BioInformatique, Systèmes Complexes (IBISC)

Laboratory presentation

The research carried out at IBISC focuses on simulation, conception, and validation of complex systems (both living and artificial). IBISC is made up of 4 teams (AROBAS, COSMO, IRA2, SIMOB) studying 2 main themes : STIC & Vivant (computational biology, biomedical image treatment, individual assistance ...) and STIC & Smart System (autonomous systems, open and safe systems ...). IBISC owns several platforms referenced and supported by Génopole : EVR@ (virtual environments and augmented reality -http://evra.ibisc.univ-evry.fr/-) and EvryRNA (http://evryrna.ibisc.univ-evry.fr/), but also varied platforms focused on smart systems (2 wheeled vehicles, drones, robots).

The 20 latest publications

Title Authors Publication date Source
An extension of the Christofides heuristic for a single-depot multiple Hamiltonian path problem Jun Wu 03/01/24 Journal of Combinatorial Optimization
Fuzzy Fault-Tolerant Predefined-Time Control for Switched Systems: A Singularity-Free Method M. Chadli, Zhengrong Xiang 03/01/24 IEEE Transactions on Fuzzy Systems
Adaptive Formation Control for Unmanned Aerial Vehicles With Collision Avoidance and Switching Communication Network M. Chadli 03/01/24 IEEE Transactions on Fuzzy Systems
A novel robust discrete-time integral sliding mode tracking control design for time-varying delay MIMO systems with unknown uncertainties Sofiane Ahmed-Ali 02/01/24 ISA Transactions
Fully Distributed Adaptive Fuzzy Consensus for Heterogeneous Switched Nonlinear Multiagent Systems Under State-Dependent Switchings M. Chadli 02/01/24 IEEE Transactions on Fuzzy Systems
Design of proportional integral observer-based resilient control for periodic piecewise time-varying systems: The finite-time case M. Chadli 01/25/24 International Journal of Robust and Nonlinear Control
Resilient and finite-time H<inf>∞</inf> control of semi-Markov jump systems with both upper and lower thresholds of sojourn time M. Chadli 01/01/24 International Journal of Robust and Nonlinear Control
Towards a Robotic Intervention for On-Land Archaeological Fieldwork in Prehistoric Sites Laouenan Gaspard 01/01/24 Lecture Notes in Mechanical Engineering
Factorization of the State Space Construction for Cyclic Systems with Data Johan Arcile, Hanna Klaudel 01/01/24 Lecture Notes in Computer Science
An Efficient State Space Construction for a Class of Timed Automata Hanna Klaudel 01/01/24 Lecture Notes in Computer Science
A robust polynomial output feedback control for a PV system subject to actuator saturation nonlinearity M. Chadli 01/01/24 Electrical Engineering
Codesign of adaptive event generator and nonfragile observer for nonlinear systems with bounded disturbances based on interval type-2 T–S fuzzy models M. Chadli 01/01/24 Nonlinear Dynamics
A signomial programming-based approach for multi-echelon supply chain disruption risk assessment with robust dynamic Bayesian network Feng Chu, Yueyu Ding 01/01/24 Computers and Operations Research
Food inspector scheduling with outcome and daily-schedule effects Feng Chu 01/01/24 International Journal of Production Research
Scheduling a multi-agent flow shop with two scenarios and release dates Xinyue Wang, Feng Chu 01/01/24 International Journal of Production Research
Distributionally robust multi-period humanitarian relief network design integrating facility location, supply inventory and allocation, and evacuation planning Feng Chu 01/01/24 International Journal of Production Research
Closed-loop inventory routing problem for perishable food with returnable transport items selection Feng Chu 01/01/24 International Journal of Production Research
Special issue in memory of Dr. Jean-Marie Proth (7.12.1938–17.06.2021) Feng Chu 01/01/24 International Journal of Production Research
Scheduling a Distributed Permutation Flowshop With Uniform Machines and Release Dates Feng Chu 01/01/24 IEEE Transactions on Automation Science and Engineering
Prescribed-Time Adaptive Fuzzy Optimal Control for Nonlinear Systems M. Chadli 01/01/24 IEEE Transactions on Fuzzy Systems

Number of publications of the laboratory by scientific field (2016-2021)

Every paper can be classified in one or more scientific fields. The figure below shows the lab's number of publications in each scientific field, according to the ASJC classification (Elsevier)