Sebastião Feyo de Azevedo - researchr alias

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Viewing Publication 1 - 8 from 8

2016

A principal components method constrained by elementary flux modes: analysis of flux data setsMoritz von Stosch, Cristiana Rodrigues de Azevedo, Mauro Luis, Sebastião Feyo de Azevedo, Rui Oliveira. bmcbi, 17:200, 2016. [doi]

2014

Error Tolerant Predictive Control Based on Recurrent Neural ModelsPetia Georgieva, Sebastião Feyo de Azevedo. In Valentina Emilia Balas, Petia D. Koprinkova-Hristova, Lakhmi C. Jain, editors, Innovations in Intelligent Machines-5 - Computational Intelligence in Control Systems Engineering. Volume 561 of Studies in Computational Intelligence, pages 45-72, Springer, 2014. [doi]

Hybrid semi-parametric modeling in process systems engineering: Past, present and futureMoritz von Stosch, Rui Oliveira, Joana Peres, Sebastião Feyo de Azevedo. cce, 60:86-101, 2014. [doi]

2011

Qualification Frameworks and Field-specific Approaches to Quality Assurance: Initiatives in Engineering and Technical EducationGiuliano Augusti, Sebastião Feyo de Azevedo. ijqaete, 1(1):44-57, 2011. [doi]

Neural networks for model predictive controlPetia Georgieva, Sebastião Feyo de Azevedo. ijcnn 2011: 111-118 [doi]

2010

Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approachMoritz von Stosch, Joana Peres, Sebastião Feyo de Azevedo, Rui Oliveira. bmcsb, 4:131, 2010. [doi]

2009

Computationally efficient process control with neural networkbased predictive modelsLuis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo. ijcnn 2009: 2990-2997 [doi]

Error tolerant MPC versus PI control - a crystallization case studyLuis Alberto Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo. eucc 2009: 2899-2904 [doi]

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