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Nonlinear identification of pneumatic servo-drive

Refaat, Sameh and Nahavandi, Saeid 2006, Nonlinear identification of pneumatic servo-drive, International journal of modelling and simulation, vol. 26, no. 1, pp. 11-16.

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Title Nonlinear identification of pneumatic servo-drive
Author(s) Refaat, Sameh
Nahavandi, Saeid
Journal name International journal of modelling and simulation
Volume number 26
Issue number 1
Start page 11
End page 16
Publisher ACTA Press
Place of publication Anaheim, Calif.
Publication date 2006
ISSN 0228-6203
Keyword(s) linear and nonlinear identification
fuzzy logic
neural networklearning
general-purpose nonlinear modelling
pneumatic servo-system
Summary Three nonlinear approaches to model the nonlinear pneumatic servo- drive are presented. The three nonlinear approaches are: (1) the multi input-single output (MISO) approach, which describes the single input-single output (SISO) nonlinear plant using a MISO linear representation which allows replacement of the nonlinear analysis by a linear one without approximation, and is studied in both time and frequency domains; (2) piecewise linearization, which systematically replaces, using artificial neural network, the nonlinear surface representing the plant in the hyper input-output space by a number of linear planes that are continuous over the boundaries between them; and (3) Adaptive Neuro-Fuzzy Inference System (ANFIS), in which the fuzzy rules are placed in a neural network structure, and which consequently utilizes neural networks learning rules to systematically tune the nonlinear fuzzy model. The superiority of these nonlinear models over the best model that can be developed using linear identification techniques is shown.
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2006, ACTA Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30004188

Document type: Journal Article
Collection: School of Engineering and Information Technology
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