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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chi-Cheng Jou |
| Copyright Year | 1992 |
| Description | Author affiliation: Dept. of Control Eng., Nat. China Tung Univ., Hsinchu, Taiwan (Chi-Cheng Jou) |
| Abstract | An adaptive fuzzy controller based on the cerebellar model articulation controller is presented. The controller is basically a table lookup module in which fuzzy sets are stored and manipulated by using fuzzy set theory. Analogous to neural networks, this controller adaptively estimates continuous functions from sampled data without specifying mathematically how outputs depend on inputs. As a result, it is easy to modify in order to accommodate changes in the system. Learning is based on observations of the input-output relationship of the system, and there is no need to identify fuzzy logical rules from the human operator. The goal is to demonstrate the use of a neural-network scheme as applied to building the adaptive fuzzy system.< |
| Starting Page | 1171 |
| Ending Page | 1178 |
| File Size | 620823 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780302362 |
| DOI | 10.1109/FUZZY.1992.258722 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-03-08 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy control Fuzzy systems Programmable control Adaptive control Table lookup Fuzzy sets Fuzzy set theory Neural networks Fuzzy logic Humans |
| Content Type | Text |
| Resource Type | Article |
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