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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ghwanmeh, S.H. Jones, K.O. Williams, D. |
| Copyright Year | 1996 |
| Description | Author affiliation: Control Syst. Res. Group, Liverpool John Moores Univ., UK (Ghwanmeh, S.H.) |
| Abstract | The generation of rule-bases in conventional fuzzy logic controllers can be a difficult and time consuming problem for implementation by process operators thus affecting their wider applicability. A self-learning fuzzy logic control (SLFLC) offers a possible solution. A robustness study is therefore presented to evaluate the performance of a proposed SLFLC by analysing its transient performance for a variety of online tests and examining its ability to generate a consistent set of rules, based on a predetermined criteria. The results presented show that even with a limited knowledge of the process, the self-learning procedure is able to develop a suitable set of rules and produce a satisfactory process performance with some degree of robustness and repeatability when applied to a nonlinear single-input single-output (SISO) or multi-input multi-output (MIMO) laboratory liquid-level processes. |
| Starting Page | 394 |
| Ending Page | 399 |
| File Size | 580407 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780336453 |
| DOI | 10.1109/FUZZY.1996.551773 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-09-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Niobium Fuzzy logic Process control Fuzzy control Automatic generation control Robustness Control systems Transient analysis Testing MIMO |
| Content Type | Text |
| Resource Type | Article |
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