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Adaptive and Predictive Control of Liquid-Liquid Extractors Using Neural-Based Instantaneous Linearization Technique
(
WILEY-VCH Verlag GmbH & Co.
, 2006 , Article)
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 ...
Modeling of mass transport of aqueous solutions of multi-solute organics through reverse osmosis membranes in case of solute–membrane affinity: Part 1. Model development and simulation
(
Elsevier B.V.
, 2005 , Article)
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. ...
Treatment of waters colored with methylene blue dye by vacuum membrane distillation
(
Elsevier B.V.
, 2004 , Article)
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 ...
Neural network model-based predictive control of liquid–liquid extraction contactors
(
Elsevier Ltd
, 2004 , Article)
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 ...
Neural-Networks-Based Feedback Linearization versus Model Predictive Control of Continuous Alcoholic Fermentation Process
(
WILEY-VCH Verlag GmbH & Co.
, 2005 , Article)
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 ...