Solving Nonlinear MBPC through Convex Optimization: A Comparative Study Using Neural Networks. - Miguel Ayala Botto; Hubert A. B. te Braake; José M. G. Sá da Costa (ICANN, 1996)

A comparison of nonlinear predictive control techniques using neural network models. - Miguel Ayala Botto; José M. G. Sá da Costa (J. Syst. Archit., 1998)

Robust control using neural networks and input-output feedback linearization. - Miguel Ayala Botto; Ton J. J. van den Boom; José M. G. Sá da Costa (ECC, 2001)

Model-based active noise control using neural networks. - J. M. Concinnila; J. M. Sousa; Miguel Ayala Botto; José M. G. Sá da Costa (ECC, 2001)

Optimal control of uncertain piecewise affine/mixed logical dynamical systems. - Miguel Pedro Silva; Alberto Bemporad; Miguel Ayala Botto; José M. G. Sá da Costa (ECC, 2003)

Robust Pole Placement Controller Design for Flexible Transmission System. - Serkan T. Impram; Miguel Ayala Botto; José M. G. Sá da Costa (Control. Intell. Syst., 2004)

A switching detection method based on projected subspace classification. - José Borges; Vincent Verdult; Michel Verhaegen; Miguel Ayala Botto (CDC/ECC, 2005)

Design of an analytic constrained predictive controller using neural networks. - Ton J. J. van den Boom; Miguel Ayala Botto; Peter Hoekstra (Int. J. Syst. Sci., 2005)

Simultaneous state and input estimation of hybrid systems with unknown inputs. - Luís Pina; Miguel Ayala Botto (Autom., 2006)

Dealing with Uncertainty in the Hybrid World. - Luís Pina; Miguel Ayala Botto (ICINCO-ICSO, 2008)

Linear Model for Canal Pools. - João Miguel Lemos Chasqueira Nabais; Miguel Ayala Botto (ICINCO (1), 2011)

Flexible Framework for Modeling Water Conveyance Networks. - João Miguel Lemos Chasqueira Nabais; José Duarte; Miguel Ayala Botto; Manuel Rijo (SIMULTECH, 2011)

A Novel Predictive Control Based Framework for Optimizing Intermodal Container Terminal Operations. - João Miguel Lemos Chasqueira Nabais; Rudy R. Negenborn; Miguel Ayala Botto (ICCL, 2012)

Model predictive control for a sustainable transport modal split at intermodal container hubs. - João Miguel Lemos Chasqueira Nabais; Rudy R. Negenborn; Miguel Ayala Botto (ICNSC, 2013)

Hierarchical Model Predictive Control for optimizing intermodal container terminal operations. - João Miguel Lemos Chasqueira Nabais; Rudy R. Negenborn; Miguel Ayala Botto (ITSC, 2013)

A constrained MPC heuristic to achieve a desired transport modal split at intermodal hubs. - João Miguel Lemos Chasqueira Nabais; Rudy R. Negenborn; Rafael Bernardo Carmona Benítez; Miguel Ayala Botto (ITSC, 2013)

Setting cooperative relations among terminals at seaports using a multi-agent system. - João Miguel Lemos Chasqueira Nabais; Rudy R. Negenborn; Rafael Bernardo Carmona Benítez; Miguel Ayala Botto (ITSC, 2013)

A Multi-agent Control Architecture for Supply Chains Using a Predictive Pull-Flow Perspective. - João Miguel Lemos Chasqueira Nabais; Rudy R. Negenborn; Rafael Bernardo Carmona Benítez; Luís F. Mendonça; João Lourenço; Miguel Ayala Botto (PAAMS (Workshops), 2013)

Assessment of data-driven modeling strategies for water delivery canals. - Isaías Tavares; José Borges; Mário J. G. C. Mendes; Miguel Ayala Botto (Neural Comput. Appl., 2013)

Cooperative Relations Among Intermodal Hubs and Transport Providers at Freight Networks Using an MPC Approach. - João Miguel Lemos Chasqueira Nabais; Rudy R. Negenborn; Rafael Bernardo Carmona Benítez; Miguel Ayala Botto (ICCL, 2015)

Single-partition adaptive Q-learning. - João Pedro Araújo; Mário A. T. Figueiredo; Miguel Ayala Botto (CoRR, 2020)

Control with adaptive Q-learning. - João Pedro Araújo; Mário A. T. Figueiredo; Miguel Ayala Botto (CoRR, 2020)

Control with adaptive Q-learning: A comparison for two classical control problems. - João Pedro Araújo; Mário A. T. Figueiredo; Miguel Ayala Botto (Eng. Appl. Artif. Intell., 2022)

Real-time walking gait terrain classification from foot-mounted Inertial Measurement Unit using Convolutional Long Short-Term Memory neural network. - Rui Moura Coelho; João Gouveia; Miguel Ayala Botto; Hermano Igo Krebs; Jorge Martins 001 (Expert Syst. Appl., 2022)

Online learning of MPC for autonomous racing. - Gabriel Costa; João Pinho; Miguel Ayala Botto; Pedro U. Lima (Robotics Auton. Syst., 2023)

Learning-based Model Predictive Control for an Autonomous Formula Student Racing Car. - David R. Gomes; Miguel Ayala Botto; Pedro U. Lima (ICRA, 2024)