Optimal monitoring and risk limits for a wastewater biological treatment serial plant. - Gheorghe Maria; Cristina Maria; Romualdo Salcedo; Sebastião Feyo de Azevedo (ECC, 2001)

A Neural Network Based Approach for Measurement Dynamics Compensation. - Petia Georgieva; Sebastião Feyo de Azevedo (Appl. Artif. Intell., 2002)

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)

An adaptive fuzzy hybrid state observer for bioprocesses. - Pedro Ascencio; Daniel Sbarbaro; Sebastião Feyo de Azevedo (IEEE Trans. Fuzzy Syst., 2004)

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)

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)

Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model. - Vytautas Galvanauskas; Petia Georgieva; Sebastião Feyo de Azevedo (IJCNN, 2006)

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 (IJCNN, 2007)

Error tolerant MPC versus PI control - a crystallization case study. - Luis Alberto Paz Suárez; Petia Georgieva; Sebastião Feyo de Azevedo (ECC, 2009)

Computationally efficient process control with neural networkbased predictive models. - Luis A. Paz Suarez; Petia Georgieva; Sebastião Feyo de Azevedo (IJCNN, 2009)

Artificial neural networks for modeling in reaction process systems. - Cristina Oliveira; Petia Georgieva; Fernando Rocha; Sebastião Feyo de Azevedo (Neural Comput. Appl., 2009)

Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach. - Moritz von Stosch; Joana Peres; Sebastião Feyo de Azevedo; Rui Oliveira 002 (BMC Syst. Biol., 2010)

Neural networks for model predictive control. - Petia Georgieva; Sebastião Feyo de Azevedo (IJCNN, 2011)

A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses. - Moritz von Stosch; Rui Oliveira 002; Joana Peres; Sebastião Feyo de Azevedo (Expert Syst. Appl., 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)

Hybrid semi-parametric modeling in process systems engineering: Past, present and future. - Moritz von Stosch; Rui Oliveira 002; Joana Peres; Sebastião Feyo de Azevedo (Comput. Chem. Eng., 2014)

Error Tolerant Predictive Control Based on Recurrent Neural Models. - Petia Georgieva; Sebastião Feyo de Azevedo (Innovations in Intelligent Machines (5), 2014)

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 002 (BMC Bioinform., 2016)