To develop an understanding of the functionality of the hardware and configurable software of control systems and of the design of protection systems with particular reference to IEC standards. 

• To introduce the terminology and technology associated with fuzzy logic control, knowledge based systems and artificial neural networks. 
• To provide an understanding of the principles of fuzzy logic and of the functionality of fuzzy controllers. 
• To develop a quantitative understanding of the structure and training mechanisms of multi-layer perceptron and radial basis function neural networks. 
• To become familiar with frame and object based structures and with the common knowledge based processes such as inferencing and elicitation. 
• To appreciate the potential benefits and limitations of these techniques, and to be aware of how and when to apply them in the context of process automation. 

This module is of one week's full-time intensive study consisting of a variety of lectures, tutorials, demonstrations, case studies and structured computer-based laboratory work. The time allocation for tutorials and practical work provides for the use of Matlab toolboxes for fuzzy logic controller design and the use of ANNs for dynamic modelling for estimation and control.