Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network

A gradient optimization scheme for solution purification process

“…There exist various kinds of methods to estimate the value of AUE (Kim et al, 2007), such as regression method and Box-Jenkins method. In this paper, Radial Basis Function Neural Network (RBFNN) (Moody & Darken, 1989), which has been applied successfully in many engineering problems (Han, Qiao, & Chen, 2012;Iliyas, Elshafei, Habib, & Adeniran, 2013;Seshagiri & Khalil, 2000), is selected to estimate AUE.…”

Desenvolvimento de sistema de Controle Ótimo para processo de tratamento de efluentes

“…Os trabalhos de Kabouris e Georgakakos (1990), Lindberg e Carlsson (1996), Lindberg (1998), Lukasse et al (1998), Reis (2003), Aguilar-López (2008), Koumboulisa et al (2008), Amand e Carlsson (2012) e Han et al (2012) constituem alguns exemplos de aplicação da Teoria Moderna no desenvolvimento de sistemas de controle aplicáveis aos processos de lodos ativados. Samuelsson (2001), no entanto, observa que os modelos dinâmicos mais frequentemente utilizados para a descrição do comportamento dos processos de lodos ativados são complexos, envolvendo considerável número de componentes e de taxas de reação.…”

Dissolved oxygen control of activated sludge biorectors using neural-adaptive control

“…The capability of neural networks for learning large nonlinearities of the system makes them popular in nonlinear adaptive control, and a back-propagation neural network is used in [9] for DO control. Moreover, integrated techniques such as neural-fuzzy control [10] and self-organizing radial basis function neural network model predictive control method [11] have been proposed for DO control.…”