Sebastião Feyo de Azevedo

According to our database, Sebastião Feyo de Azevedo authored at least 18 papers between 2001 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2016

A principal components method constrained by elementary flux modes: analysis of flux data sets.

Moritz von Stosch, Cristiana Rodrigues de Azevedo, Mauro Luis, Sebastião Feyo de Azevedo, Rui Oliveira

BMC Bioinform., 2016

2014

Error Tolerant Predictive Control Based on Recurrent Neural Models.

Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the Innovations in Intelligent Machines-5, 2014

Hybrid semi-parametric modeling in process systems engineering: Past, present and future.

Moritz von Stosch, Rui Oliveira, Joana Peres, Sebastião Feyo de Azevedo

Comput. Chem. Eng., 2014

2011

Qualification Frameworks and Field-specific Approaches to Quality Assurance: Initiatives in Engineering and Technical Education.

Giuliano Augusti, Sebastião Feyo de Azevedo

Int. J. Qual. Assur. Eng. Technol. Educ., 2011

A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses.

Moritz von Stosch, Rui Oliveira, Joana Peres, Sebastião Feyo de Azevedo

Expert Syst. Appl., 2011

Neural networks for model predictive control.

Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach.

Moritz von Stosch, Joana Peres, Sebastião Feyo de Azevedo, Rui Oliveira

BMC Syst. Biol., 2010

2009

Artificial neural networks for modeling in reaction process systems.

Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo

Neural Comput. Appl., 2009

Computationally efficient process control with neural networkbased predictive models.

Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the International Joint Conference on Neural Networks, 2009

Error tolerant MPC versus PI control - a crystallization case study.

Luis Alberto Paz Suárez, Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the 10th European Control Conference, 2009

2007

Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients.

Petia Georgieva, Cristina Oliveira, Fernando Rocha, Sebastião Feyo de Azevedo

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model.

Vytautas Galvanauskas, Petia Georgieva, Sebastião Feyo de Azevedo

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Adaptive recurrent neural network control of biological wastewater treatment.

Ieroham S. Baruch, Petia Georgieva, Josefina Barrera-Cortés, Sebastião Feyo de Azevedo

Int. J. Intell. Syst., 2005

On-line monitoring of a sugar crystallization process.

Alexandros Simoglou, Petia Georgieva, Elaine B. Martin, Anthony Julian Morris, Sebastião Feyo de Azevedo

Comput. Chem. Eng., 2005

2004

An adaptive fuzzy hybrid state observer for bioprocesses.

Pedro Ascencio, Daniel Sbarbaro, Sebastião Feyo de Azevedo

IEEE Trans. Fuzzy Syst., 2004

On-line tuning of a neural PID controller based on plant hybrid modeling.

A. Andrásik, Alojz Mészáros, Sebastião Feyo de Azevedo

Comput. Chem. Eng., 2004

2002

A Neural Network Based Approach for Measurement Dynamics Compensation.

Petia Georgieva, Sebastião Feyo de Azevedo

Appl. Artif. Intell., 2002

2001

Optimal monitoring and risk limits for a wastewater biological treatment serial plant.

Gheorghe Maria, Cristina Maria, Romualdo Salcedo, Sebastião Feyo de Azevedo

Proceedings of the 6th European Control Conference, 2001