Improving the control performance of an Organic Rankine Cycle system for waste heat recovery from a heavy-duty diesel engine using a model-based approach. - Johan Peralez; Paolino Tona; Olivier Lepreux; Antonio Sciarretta; Luc Voise; Pascal Dufour; Madiha Nadri (CDC, 2013)

Control design for an automotive turbine Rankine Cycle system based on nonlinear state estimation. - Johan Peralez; Madiha Nadri; Pascal Dufour; Paolino Tona; Antonio Sciarretta (CDC, 2014)

Organic Rankine Cycle for Vehicles: Control Design and Experimental Results. - Johan Peralez; Madiha Nadri; Pascal Dufour; Paolino Tona; Antonio Sciarretta (IEEE Trans. Control. Syst. Technol., 2017)

Event-Triggered Output Feedback Stabilization via Dynamic High-Gain Scaling. - Johan Peralez; Vincent Andrieu; Madiha Nadri; Ulysse Serres (IEEE Trans. Autom. Control., 2018)

Data-driven multi-model control for a waste heat recovery system. - Johan Peralez; Francesco Galuppo; Pascal Dufour; Christian Wolf 001; Madiha Nadri (CDC, 2020)

Deep Learning-based Luenberger observer design for discrete-time nonlinear systems. - Johan Peralez; Madiha Nadri (CDC, 2021)

Neural Network-Based KKL observer for nonlinear discrete-time systems. - Johan Peralez; Madiha Nadri; Daniele Astolfi (CDC, 2022)

On Convex Optimal Value Functions For POSGs. - Rafael F. Cunha; Jacopo Castellini; Johan Peralez; Jilles Steeve Dibangoye (CoRR, 2023)

Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach. - Johan Peralez; Aurélien Delage; Olivier Buffet; Jilles Steeve Dibangoye (ICML, 2024)

Deep model-free KKL observer: A switching approach. - Johan Peralez; Madiha Nadri (L4DC, 2024)

Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach. - Johan Peralez; Aurélien Delage; Jacopo Castellini; Rafael F. Cunha; Jilles Steeve Dibangoye (AAAI, 2025)