Miguel Ayala Botto

28 papers A* 1C 2Journal 11Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Corrigendum to "Online learning of MPC for autonomous racing" [Robotics and Autonomous Systems, Volume 167, September 2023, 104469].
Robotics Auton. Syst.
Gabriel Costa, João Pinho, Miguel Ayala Botto, Pedro U. Lima
2024 A* conf
Learning-based Model Predictive Control for an Autonomous Formula Student Racing Car.
ICRA
David R. Gomes, Miguel Ayala Botto, Pedro U. Lima
2023 J jnl
Online learning of MPC for autonomous racing.
Robotics Auton. Syst.
Gabriel Costa, João Pinho, Miguel Ayala Botto, Pedro U. Lima
2022 J jnl
Control with adaptive Q-learning: A comparison for two classical control problems.
Eng. Appl. Artif. Intell.
João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto
2022 J jnl
Real-time walking gait terrain classification from foot-mounted Inertial Measurement Unit using Convolutional Long Short-Term Memory neural network.
Expert Syst. Appl.
Rui Moura Coelho, João Gouveia, Miguel Ayala Botto, Hermano Igo Krebs, Jorge Martins
2020 J jnl
Control with adaptive Q-learning.
CoRR
João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto
2020 J jnl
Single-partition adaptive Q-learning.
CoRR
João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto
2015 — conf
Cooperative Relations Among Intermodal Hubs and Transport Providers at Freight Networks Using an MPC Approach.
ICCL
João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Rafael Bernardo Carmona Benítez, Miguel Ayala Botto
2013 — conf
A Multi-agent Control Architecture for Supply Chains Using a Predictive Pull-Flow Perspective.
PAAMS (Workshops)
João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Rafael Bernardo Carmona Benítez, Luís F. Mendonça, João Lourenço, Miguel Ayala Botto
2013 — conf
A constrained MPC heuristic to achieve a desired transport modal split at intermodal hubs.
ITSC
João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Rafael Bernardo Carmona Benítez, Miguel Ayala Botto
2013 J jnl
Assessment of data-driven modeling strategies for water delivery canals.
Neural Comput. Appl.
Isaías Tavares, José Borges, Mário J. G. C. Mendes, Miguel Ayala Botto
2013 — conf
Hierarchical Model Predictive Control for optimizing intermodal container terminal operations.
ITSC
João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Miguel Ayala Botto
2013 — conf
Model predictive control for a sustainable transport modal split at intermodal container hubs.
ICNSC
João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Miguel Ayala Botto
2013 — conf
Setting cooperative relations among terminals at seaports using a multi-agent system.
ITSC
João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Rafael Bernardo Carmona Benítez, Miguel Ayala Botto
2012 — conf
A Novel Predictive Control Based Framework for Optimizing Intermodal Container Terminal Operations.
ICCL
João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Miguel Ayala Botto
2011 C conf
Flexible Framework for Modeling Water Conveyance Networks.
SIMULTECH
João Miguel Lemos Chasqueira Nabais, José Duarte, Miguel Ayala Botto, Manuel Rijo
2011 — conf
Linear Model for Canal Pools.
ICINCO (1)
João Miguel Lemos Chasqueira Nabais, Miguel Ayala Botto
2008 — conf
Dealing with Uncertainty in the Hybrid World.
ICINCO-ICSO
Luís Pina, Miguel Ayala Botto
2006 J jnl
Simultaneous state and input estimation of hybrid systems with unknown inputs.
Autom.
Luís Pina, Miguel Ayala Botto
2005 — conf
A switching detection method based on projected subspace classification.
CDC/ECC
José Borges, Vincent Verdult, Michel Verhaegen, Miguel Ayala Botto
2005 J jnl
Design of an analytic constrained predictive controller using neural networks.
Int. J. Syst. Sci.
Ton J. J. van den Boom, Miguel Ayala Botto, Peter Hoekstra
2004 J jnl
Robust Pole Placement Controller Design for Flexible Transmission System.
Control. Intell. Syst.
Serkan T. Impram, Miguel Ayala Botto, José M. G. Sá da Costa
2003 — conf
Optimal control of uncertain piecewise affine/mixed logical dynamical systems.
ECC
Miguel Pedro Silva, Alberto Bemporad, Miguel Ayala Botto, José M. G. Sá da Costa
2001 — conf
Design of an analytic constrained predictive controller using neural networks.
ECC
Peter Hoekstra, Ton J. J. van den Boom, Miguel Ayala Botto
2001 — conf
Model-based active noise control using neural networks.
ECC
J. M. Concinnila, J. M. Sousa, Miguel Ayala Botto, José M. G. Sá da Costa
2001 — conf
Robust control using neural networks and input-output feedback linearization.
ECC
Miguel Ayala Botto, Ton J. J. van den Boom, José M. G. Sá da Costa
1998 J jnl
A comparison of nonlinear predictive control techniques using neural network models.
J. Syst. Archit.
Miguel Ayala Botto, José M. G. Sá da Costa
1996 C conf
Solving Nonlinear MBPC through Convex Optimization: A Comparative Study Using Neural Networks.
ICANN
Miguel Ayala Botto, Hubert A. B. te Braake, José M. G. Sá da Costa