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ORCIDMiguel Ayala Botto
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2020 – today
- 2024
[c17]David R. Gomes, Miguel Ayala Botto, Pedro U. Lima:
Learning-based Model Predictive Control for an Autonomous Formula Student Racing Car. ICRA 2024: 12556-12562- 2023
- [j8]Gabriel Costa
, João Pinho, Miguel Ayala Botto, Pedro U. Lima:
Online learning of MPC for autonomous racing. Robotics Auton. Syst. 167: 104469 (2023) - 2022
- [j7]João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto:
Control with adaptive Q-learning: A comparison for two classical control problems. Eng. Appl. Artif. Intell. 112: 104797 (2022) - [j6]Rui Moura Coelho, João Gouveia, Miguel Ayala Botto, Hermano Igo Krebs, Jorge Martins:
Real-time walking gait terrain classification from foot-mounted Inertial Measurement Unit using Convolutional Long Short-Term Memory neural network. Expert Syst. Appl. 203: 117306 (2022) - 2020
- [i2]João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto:
Single-partition adaptive Q-learning. CoRR abs/2007.06741 (2020) - [i1]João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto:
Control with adaptive Q-learning. CoRR abs/2011.02141 (2020)
2010 – 2019
- 2015
- [c16]João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Rafael Bernardo Carmona Benítez, Miguel Ayala Botto:
Cooperative Relations Among Intermodal Hubs and Transport Providers at Freight Networks Using an MPC Approach. ICCL 2015: 478-494 - 2013
- [j5]Isaías Tavares, José Borges, Mário J. G. C. Mendes, Miguel Ayala Botto:
Assessment of data-driven modeling strategies for water delivery canals. Neural Comput. Appl. 23(3-4): 625-633 (2013) - [c15]João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Miguel Ayala Botto:
Model predictive control for a sustainable transport modal split at intermodal container hubs. ICNSC 2013: 591-596 - [c14]João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Miguel Ayala Botto:
Hierarchical Model Predictive Control for optimizing intermodal container terminal operations. ITSC 2013: 708-713 - [c13]João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Rafael Bernardo Carmona Benítez, Miguel Ayala Botto:
A constrained MPC heuristic to achieve a desired transport modal split at intermodal hubs. ITSC 2013: 714-719 - [c12]João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Rafael Bernardo Carmona Benítez, Miguel Ayala Botto:
Setting cooperative relations among terminals at seaports using a multi-agent system. ITSC 2013: 1731-1736 - [c11]João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Rafael Bernardo Carmona Benítez, Luís F. Mendonça, João Lourenço, Miguel Ayala Botto:
A Multi-agent Control Architecture for Supply Chains Using a Predictive Pull-Flow Perspective. PAAMS (Workshops) 2013: 94-105 - 2012
- [c10]João Miguel Lemos Chasqueira Nabais, Rudy R. Negenborn, Miguel Ayala Botto:
A Novel Predictive Control Based Framework for Optimizing Intermodal Container Terminal Operations. ICCL 2012: 53-71 - 2011
- [c9]João Miguel Lemos Chasqueira Nabais, Miguel Ayala Botto:
Linear Model for Canal Pools. ICINCO (1) 2011: 306-313 - [c8]João Miguel Lemos Chasqueira Nabais, José Duarte, Miguel Ayala Botto, Manuel Rijo:
Flexible Framework for Modeling Water Conveyance Networks. SIMULTECH 2011: 142-147
2000 – 2009
- 2008
- [c7]Luís Pina, Miguel Ayala Botto:
Dealing with Uncertainty in the Hybrid World. ICINCO-ICSO 2008: 5-14 - 2006
- [j4]Luís Pina, Miguel Ayala Botto:
Simultaneous state and input estimation of hybrid systems with unknown inputs. Autom. 42(5): 755-762 (2006) - 2005
- [j3]Ton J. J. van den Boom, Miguel Ayala Botto, Peter Hoekstra:
Design of an analytic constrained predictive controller using neural networks. Int. J. Syst. Sci. 36(10): 639-650 (2005) - [c6]José Borges, Vincent Verdult, Michel Verhaegen, Miguel Ayala Botto:
A switching detection method based on projected subspace classification. CDC/ECC 2005: 344-349 - 2004
- [j2]Serkan T. Impram, Miguel Ayala Botto, José M. G. Sá da Costa:
Robust Pole Placement Controller Design for Flexible Transmission System. Control. Intell. Syst. 32(3) (2004) - 2003
- [c5]Miguel Pedro Silva, Alberto Bemporad, Miguel Ayala Botto, José M. G. Sá da Costa:
Optimal control of uncertain piecewise affine/mixed logical dynamical systems. ECC 2003: 1573-1578 - 2001
- [c4]J. M. Concinnila, J. M. Sousa, Miguel Ayala Botto, José M. G. Sá da Costa:
Model-based active noise control using neural networks. ECC 2001: 72-77 - [c3]Peter Hoekstra, Ton J. J. van den Boom, Miguel Ayala Botto:
Design of an analytic constrained predictive controller using neural networks. ECC 2001: 3300-3305 - [c2]Miguel Ayala Botto, Ton J. J. van den Boom, José M. G. Sá da Costa:
Robust control using neural networks and input-output feedback linearization. ECC 2001: 3887-3892
1990 – 1999
- 1998
- [j1]Miguel Ayala Botto, José M. G. Sá da Costa:
A comparison of nonlinear predictive control techniques using neural network models. J. Syst. Archit. 44(8): 597-616 (1998) - 1996
- [c1]Miguel Ayala Botto, Hubert A. B. te Braake, José M. G. Sá da Costa:
Solving Nonlinear MBPC through Convex Optimization: A Comparative Study Using Neural Networks. ICANN 1996: 593-598
Coauthor Index
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