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|Title:||Development of model-referenced fuzzy adaptive control||Authors:||Tang, P.L.
De Silva, C.W.
|Issue Date:||2001||Citation:||Tang, P.L.,De Silva, C.W.,Poo, A.-N. (2001). Development of model-referenced fuzzy adaptive control. Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS 3 : 1856-1861. ScholarBank@NUS Repository.||Abstract:||This paper outlines the development of three different types of model-referenced adaptive control and then evaluates their performance through computer simulation. Specifically, conventional model-referenced adaptive control is used as the basis of comparison of the performance of two knowledge-based techniques. Fuzzy logic is used in the development of the knowledge base and for decision making, in the two techniques. In one knowledge-based technique, the parameters of a low-level direct digital controller are adapted so that the system tracks a reference model. In the other knowledge-based technique, the reference input to the system is adapted. Simulation studies are carried out for the three techniques, as applied to a simple nonlinear servomotor and load system. Results indicate that the knowledge-based adaptive techniques can outperform the conventional technique in specific situations.||Source Title:||Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS||URI:||http://scholarbank.nus.edu.sg/handle/10635/73356|
|Appears in Collections:||Staff Publications|
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