Abstract: Artificial neural networks (ANN) have been widely used for monitoring, control and optimization of various bioprocesses mainly because of their ability to understand a function from observations. However in the last two decades the application of intelligent controllers has grown tremendously in the field of bioprocess control. This paper provides a brief review the different theories of intelligent control along with a survey of their applications in various bioprocesses of control strategies in terms of type of controller, the structure, the algorithms, the objectives and the results of the work. Apart from demonstrating the successful applications of intelligent controllers in several control applications, the versatility of the controllers to be applied in multiple control methods has also been shown.
Keywords: Bioprocess control, intelligent control, Artificial neural network, Bioprocess control.