FPGA implementation of a Recurrent Neural Fuzzy Network for on-line temperature control

被引：0

作者：

Juang, CF ^{[1
]}

Hsu, CH ^{[1
]}

Liou, YC ^{[1
]}

机构：

[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung, Taiwan

来源：

2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS | 2005年

关键词：

fuzzy network; direct inverse control; recurrent neural networks; fuzzy chip;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

FPGA implementation of a TSK-type Recurrent Neural Fuzzy Network (TRNFN) for water bath temperature control is proposed in this paper. The TRNFN is constructed from recurrent fuzzy if-then rules and are built through concurrent structure and parameter learning. To apply TRNFN to temperature control, the direct inverse control configuration is adopted. For on-line adaptive control objective, the implemented TRNFN chip is characterized with learning ability, where the consequent part parameters of TRNFN are tuned by gradient descent. Experiments on water bath temperature control have verified the function of the designed TRNFN chip.

引用

页码：3043 / 3046

页数：4

共 50 条

[1] Artificial neural network implementation on a single FPGA of a pipelined on-line backpropagation
Gadea, R
Cerdá, J
Ballester, F
Mocholí, A
[J]. 13TH INTERNATIONAL SYMPOSIUM ON SYSTEM SYNTHESIS, PROCEEDINGS, 2000, : 225 - 230
[2] Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation
Juang, CF
Chen, JS
[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2006, 53 (03) : 941 - 949
[3] A recurrent neural fuzzy network controller for a temperature control system
Juang, CF
Chen, JS
[J]. PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2, 2003, : 408 - 413
[4] FPGA Implementation of the Locally Recurrent Probabilistic Neural Network
Dukov, Nikolay
Ganchev, Todor
Kovachev, Dimitar
[J]. PROCEEDINGS OF THE SECOND INTERNATIONAL SCIENTIFIC CONFERENCE INTELLIGENT INFORMATION TECHNOLOGIES FOR INDUSTRY (IITI'17), VOL 1, 2018, 679 : 419 - 428
[5] On-line Optimization of Fuzzy-Immune PID for PEMFC Temperature Control Based on RBF Neural Network
Li, Dazi
Yu, Yadi
Jin, Qibing
[J]. PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION, 2013, 254 : 215 - 222
[6] FPGA Implementation of a Recurrent Neural Fuzzy Network with On-Chip Learning for Prediction and Identification Applications
Lin, Cheng-Jian
Lee, Chi-Yung
[J]. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2009, 25 (02) : 575 - 589
[7] Implementation of a neural network for digital pulse shape analysis on a FPGA for on-line identification of heavy ions
Jimenez, R.
Sanchez-Raya, M.
Gomez-Galan, J. A.
Flores, J. L.
Duenas, J. A.
Martel, I.
[J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2012, 674 : 99 - 104
[8] On-line fuzzy adaptive controller with wavelet neural network
Zhang, K
Chen, WK
[J]. 2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE, 2001, : D394 - D399
[9] Temperature Control with Fuzzy Neural Network
Dai, Bin
Chen, Ren
Chen, Rung-Ching
[J]. 2017 IEEE 8TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST), 2017, : 452 - 455
[10] On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems
Leu, YG
Lee, TT
Wang, WY
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1997, 27 (06): : 1034 - 1043

← 1 2 3 4 5 →