Nonlinearity of the extraction process is addressed via the application of instantaneous linearization to control the extract and raffinate concentrations. Two feed-forward neural networks with delayed inputs and outputs ...

A two-dimensional mathematical model is developed for transport of multi-solute liquid (aqueous) solutions through reverse osmosis membranes in which strong affinity may exist between the membrane polymer and the solutes. ...

Textile industries consume large amounts of water and generate highly dye-contaminated effluents. Textile wastewaters have to be treated in order to be recycled in the process or to meet legislative requirements before ...

The inherent complex nonlinear dynamic characteristics and time varying transients of the liquid–liquid extraction process draw the attention to the application of nonlinear control techniques. In this work, neural ...

The paper investigates the use of artificial neural networks in modeling and control of manufacturing systems. This approach models the various elements of a manufacturing system by the form of neural networks. The modeling ...

In this work advanced nonlinear neural networks based control system design algorithms are adopted to control a mechanistic model for an ethanol fermentation process. The process model equations for such systems are highly ...