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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kaijun Xu Xiaoping Qiu Xiaobing Li Yang Xu |
| Copyright Year | 2008 |
| Description | Author affiliation: Intell. Control & Dev. Center, Southwest Jiaotong Univ., Chengdu (Kaijun Xu; Xiaoping Qiu; Xiaobing Li; Yang Xu) |
| Abstract | This paper presents the dynamic neuro-fuzzy control system for controlling a gas-fired water heater. The controller proposed in this paper is comprised of a fuzzy logic controller (FLC) in the feedback configuration and two dynamic neural networks in the forward path. A dynamic identification network (DIN) is used to identify the output of the manipulator system, and a dynamic learning network (DLN) is employed to learn the weighting factor of the fuzzy logic. It is envisaged that the integration of fuzzy logic and neural network based-controller will encompass the merits of both technologies, and thus provide a robust controller for the gas-fired water heater system. The fuzzy logic controller, based on fuzzy set theory, provides a means for converting a linguistic control strategy into control action and offering a high level of computation. On the other hand, the ability of a dynamic network structure to model an arbitrary dynamic nonlinear system is incorporated to approximate the unknown nonlinear input-output relationship using a dynamic back propagation learning algorithm. |
| Starting Page | 240 |
| Ending Page | 244 |
| File Size | 249620 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769533049 |
| DOI | 10.1109/ICNC.2008.824 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | gas-fired water heater Control systems neural-networks Nonlinear dynamical systems Feedforward neural networks Fuzzy logic Robust control Neural networks Water heating Temperature control Manipulator dynamics Neurofeedback dynamic neuro-fuzzy controller Fuzzy systems |
| Content Type | Text |
| Resource Type | Article |
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