Qualitative Approach to Gradient Based Learning Algorithms. - Bernardo Morcego Seix; Andreu Català Mallofré; Núria Piera Carreté (IWANN, 1995)

A fast Bayesian algorithm for Boolean functions synthesis by means of perceptron networks. - Andreu Català Mallofré; Joseph Aguilar-Martin; Bernardo Morcego Seix; Núria Piera Carreté (ESANN, 1996)

Estudio de redes neuronales modulares para el modelado de sistemas dinámicos no lineales. - Bernardo Morcego (2000)

MIGA, A Software Tool for Nonlinear System Modelling with Modular Neural Networks. - Bernardo Morcego Seix; Josep M. Fuertes; Gabriela Cembraño (Appl. Intell., 2004)

Negotiation and Learning in distributed MPC of Large Scale Systems. - Valeria Javalera; Bernardo Morcego; Vicenç Puig (ACC, 2010)

A Multi-agent MPC Architecture for Distributed Large Scale Systems. - Valeria Javalera; Bernardo Morcego; Vicenç Puig (ICAART (1), 2010)

Estimating External Disturbances in UAVs Using Linear and Spin Momenta. - Julian Cayero; Bernardo Morcego; Josep Cugero (ACC, 2018)

Reinforcement Learning Approach for Cooperative Control of Multi-Agent Systems. - Valeria Javalera-Rincon; Vicenç Puig Cayuela; Bernardo Morcego Seix; Fernando Orduña Cabrera (ICAART (2), 2019)

Cooperative Linker for the Distributed Control of the Barcelona Drinking Water Network. - Valeria Javalera-Rincon; Vicenç Puig Cayuela; Bernardo Morcego Seix; Fernando Orduña Cabrera (ICAART (2), 2019)

Adaptive Nonlinear Guidance Law Using Neural Networks Applied to a Quadrotor. - Bartomeu Rubí; Bernardo Morcego; Ramon Pérez (ICCA, 2019)

Path-Flyer: A Benchmark of Quadrotor Path Following Algorithms. - Bartomeu Rubí; Adrián Ruiz; Ramon Pérez; Bernardo Morcego (ICCA, 2019)

Optimal state observation using quadratic boundedness: Application to UAV disturbance estimation. - Julian Cayero; Damiano Rotondo; Bernardo Morcego; Vicenç Puig (Int. J. Appl. Math. Comput. Sci., 2019)

A Deep Reinforcement Learning Approach for Path Following on a Quadrotor. - Bartomeu Rubí; Bernardo Morcego; Ramon Pérez (ECC, 2020)

A Survey of Path Following Control Strategies for UAVs Focused on Quadrotors. - Bartomeu Rubí; Ramon Pérez; Bernardo Morcego (J. Intell. Robotic Syst., 2020)

Deep reinforcement learning for quadrotor path following with adaptive velocity. - Bartomeu Rubí; Bernardo Morcego; Ramon Pérez (Auton. Robots, 2021)

Quadrotor Path Following and Reactive Obstacle Avoidance with Deep Reinforcement Learning. - Bartomeu Rubí; Bernardo Morcego; Ramon Pérez (J. Intell. Robotic Syst., 2021)

Deep Reinforcement Learning for Quadrotor Path Following and Obstacle Avoidance. - Bartomeu Rubí; Bernardo Morcego; Ramon Pérez (Deep Learning for Unmanned Systems, 2021)

Reinforcement Learning versus Model Predictive Control on greenhouse climate control. - Bernardo Morcego; Wenjie Yin; Sjoerd Boersma; Eldert J. van Henten; Vicenç Puig; Congcong Sun 001 (Comput. Electron. Agric., 2023)

Behavior Trees for the Application of ISO 26262 in Field Monitoring Processes for Autonomous Vehicles. - Carlos Conejo; Vicenç Puig; Bernardo Morcego; Francisco Navas; Vicente Milanés (ITSC, 2024)

Behavior Trees in Functional Safety Supervisors for Autonomous Vehicles. - Carlos Conejo; Vicenç Puig; Bernardo Morcego; Francisco Navas; Vicente Milanés (CoRR, 2024)