Approaches for dynamic modelling of flexible manipulator systems JM Martins, Z Mohamed, MO Tokhi, J Sa da Costa, MA Botto IEE Proceedings-Control Theory and Applications 150 (4), 401-411, 2003 | 207 | 2003 |
Vibration control of a very flexible manipulator system Z Mohamed, JM Martins, MO Tokhi, JS Da Costa, MA Botto Control Engineering Practice 13 (3), 267-277, 2005 | 193 | 2005 |
Identification and control of nonlinear systems using fuzzy Hammerstein models J Abonyi, R Babuška, MA Botto, F Szeifert, L Nagy Industrial & engineering chemistry research 39 (11), 4302-4314, 2000 | 110 | 2000 |
Modeling of flexible beams for robotic manipulators J Martins, M Ayala Botto, J Sá da Costa Multibody System Dynamics 7, 79-100, 2002 | 93 | 2002 |
SCADA system with predictive controller applied to irrigation canals J Figueiredo, MA Botto, M Rijo Control Engineering Practice 21 (6), 870-886, 2013 | 56 | 2013 |
Simultaneous state and input estimation of hybrid systems with unknown inputs L Pina, MA Botto Automatica 42 (5), 755-762, 2006 | 55 | 2006 |
Semi-active structural vibration control of base-isolated buildings using magnetorheological dampers F Oliveira, MA Botto, P Morais, A Suleman Journal of Low Frequency Noise, Vibration and Active Control 37 (3), 565-576, 2018 | 51 | 2018 |
Achieving transport modal split targets at intermodal freight hubs using a model predictive approach JL Nabais, RR Negenborn, RBC Benítez, MA Botto Transportation Research Part C: Emerging Technologies 60, 278-297, 2015 | 48 | 2015 |
Predictive control based on neural network models with I/O feedback linearization MA Botto, TJJ Van Den Boom, A Krijgsman, JS Da Costa International Journal of Control 72 (17), 1538-1554, 1999 | 47 | 1999 |
A switching detection method based on projected subspace classification J Borges, V Verdult, M Verhaegen, MA Botto Proceedings of the 44th IEEE Conference on Decision and Control, 344-349, 2005 | 44 | 2005 |
Intelligent active noise control applied to a laboratory railway coach model MA Botto, JMC Sousa, JMGS da Costa Control Engineering Practice 13 (4), 473-484, 2005 | 44 | 2005 |
Linear predictive control based on approximate input-output feedback linearisation HAB Te Braake, M Ayala Botto, J Sá da Costa, HJL van Can, ... IEE Proceedings-Control Theory and Applications 146 (4), 295-300, 1999 | 40 | 1999 |
Constrained nonlinear predictive control based on input-output linearization using a neural network MA Botto, TJJ van den Boom, A Krijgsman, JS da Costa IFAC Proceedings Volumes 29 (1), 2574-2579, 1996 | 32 | 1996 |
A comparison of nonlinear predictive control techniques using neural network models MA Botto, JS da Costa Journal of Systems Architecture 44 (8), 597-616, 1998 | 28 | 1998 |
Model Predictive DC Voltage Control for all-electric ships A Haseltalab, MA Botto, RR Negenborn Control Engineering Practice 90, 133-147, 2019 | 27 | 2019 |
Model predictive control of an experimental water canal P Silva, MA Botto, J Figueiredo, M Rijo 2007 European Control Conference (ECC), 2977-2984, 2007 | 27 | 2007 |
Setting cooperative relations among terminals at seaports using a multi-agent system JL Nabais, RR Negenborn, RBC Benítez, MA Botto 16th International IEEE Conference on Intelligent Transportation Systems …, 2013 | 24 | 2013 |
Real-time walking gait terrain classification from foot-mounted inertial measurement unit using convolutional long short-term memory neural network RM Coelho, J Gouveia, MA Botto, HI Krebs, J Martins Expert Systems with Applications 203, 117306, 2022 | 23 | 2022 |
Discrete-time robust pole-placement design through global optimization MA Botto, R Babuška, JS da Costa IFAC Proceedings Volumes 35 (1), 343-348, 2002 | 23 | 2002 |
A centralised model predictive control framework for logistics management of coordinated supply chains of perishable goods T Hipólito, JL Nabais, R Carmona-Benítez, MA Botto, RR Negenborn International Journal of Systems Science: Operations & Logistics 9 (1), 1-21, 2022 | 22 | 2022 |