publications

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Filters: Author is Mota, Alexandre  [Clear All Filters]
2008
Antunes, A., Morgado D. F., & Mota A. (2008).  Comparing the delay compensator approach with fractional dead-time modelling in distributed real-time control systems. 8th Portuguese Conference on Automatic Control.
Antunes, A., Morgado D. F., & Mota A. (2008).  A Neural Model for Delay Correction in a Distributed Control System. (Kůrková, V., Neruda R., & Koutník J., Ed.).Artificial Neural Networks - ICANN 2008. 5164, 11-20.
2006
Antunes, A., Morgado D. F., Vieira J., & Mota A. (2006).  Delay Compensator: an approach to reduce the variable sampling to actuation delay effect in distributed real-time control systems. 11th IEEE International Conference on Emerging Technologies and Factory Automation.
Morgado, D. F., Antunes A., Vieira J., & Mota A. (2006).  On-Line Learning of a Time Variant System. (Ali, M., & Dapoigny R., Ed.).Advances in Applied Artificial Intelligence. 4031, 908-916.
Morgado, D. F., Antunes A., Vieira J., & Mota A. (2006).  A sliding window solution for the on-line implementation of the Levenberg-Marquardt algorithm. Eng. Appl. Artif. Intell.. 19, 1–7.
2005
Morgado, D. F., Antunes A., & Mota A. (2005).  Additive Internal Model Control: a new Control Strategy. International Transactions on Computer Science and Engineering. 25(1), 1-12.
Antunes, A., Morgado D. F., & Mota A. (2005).  Fractional dead-time modeling for variable sampling to actuation delay compensation in distributed real-time distributed control systems. International Transactions on Computer Science and Engineering. 24(1), 9-18.
Morgado, D. F., Antunes A., Vieira J., & Mota A. (2005).  Using the Levenberg-Marquardt for On-line Training of a Variant System. (Duch, W., Kacprzyk J., Oja E., & Zadrozny S., Ed.).Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. 3697, 753-753.
2004
Vieira, J., Morgado D. F., & Mota A. (2004).  Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study. Engineering Applications of Artificial Intelligence. 17(3), 265-273.
Antunes, A., Morgado D. F., & Mota A. (2004).  Influence of the sampling period in the performance of a real-time distributed system under jitter conditions. 6th WSEAS Int. Conf. on Telecommunications and Informatics (TELE-INFO’04).
Antunes, A., Morgado D. F., & Mota A. (2004).  Influence of the sampling period in the performance of a real-time distributed system under jitter conditions. WSEAS Transactions on Communications. 3(1), 248-253.
Vieira, J., Morgado D. F., & Mota A. (2004).  Neuro-Fuzzy Systems: A Survey. WSEAS Transactions on Systems. 3(2), 414-419.
Vieira, J., Morgado D. F., & Mota A. (2004).  Neuro-Fuzzy Systems: A Survey. 5th WSEAS NNA International Conference on Neural Networks and Applications.
Morgado, D. F., Antunes A., & Mota A. (2004).  A new hybrid direct/specialized approach for generating inverse neural models. 6th WSEAS Int. Conf. on Algorithms, Scientific Computing, Modelling and Computation (ASCOMS’04).
Morgado, D. F., Antunes A., & Mota A. (2004).  A new hybrid direct/specialized approach for generating inverse neural models. WSEAS Transactions on Systems. 3(4), 1521-1529.
2001
Morgado, D. F., & Mota A. (2001).  Additive Feedforward Control of a Kiln Using Neural Networks. IASTED International Conference on Modelling, Identification, and Control.