Title:
D-FNN DIRECT INVERSE CONTROL METHOD AND SYSTEM BASED ON PRUNING STRATEGY
Document Type and Number:
WIPO Patent Application WO/2020/244346
Kind Code:
A1
Abstract:
Disclosed are a D-FNN direct inverse control method and system based on a pruning strategy. By means of hierarchical learning, a more concise structure and shorter learning time can be ensured. A major advantage of the hierarchical learning strategy is to alleviate the oscillation problem in the learning process. When disturbances occur in an external environment, a D-FNN has strong adaptability and robustness, so that the trajectory error can be quickly reduced to close to zero. The D-FNN can automatically generate or delete fuzzy rules according to the importance of the inverse control system and the complexity of the system. The model does not need to be preset during online learning, and an order can be set according to training data for learning adaptively, thereby compensating for non-linear system modeling errors to treat external disturbances. By means of simulation research, the dynamic fuzzy neural network will be applied in many real-time automatic control systems.
Inventors:
ZHANG CAIXIA (CN)
WANG XIANGDONG (CN)
WANG XIANGDONG (CN)
Application Number:
PCT/CN2020/087798
Publication Date:
December 10, 2020
Filing Date:
April 29, 2020
Export Citation:
Assignee:
UNIV FOSHAN (CN)
International Classes:
G05B13/04
Domestic Patent References:
| WO2016010601A2 | 2016-01-21 |
Foreign References:
| CN110361968A | 2019-10-22 | |||
| CN101452258A | 2009-06-10 | |||
| CN103034122A | 2013-04-10 | |||
| US20110125685A1 | 2011-05-26 |
Other References:
CAI-XIA ZHANG, LIU GUO-WEN: "Research on D-FNN Direct Inverse Control Algorithm Based on Pruning Strategy", ACTA AUTOMATICA SINICA, vol. 45, no. 8, 1 August 2019 (2019-08-01), pages 1599 - 1605, XP055764715, DOI: 10.16383/j.aas.c190038
MA LI, DE-FENG ZHANG, YONG XU: "A Bio-Engineering Algorithm Research Based on Dynamic F uzzy Neural Netw orks", COMPUTER ENGINEERING AND SCIENCE, GUOFANG KEJI DAXUE JISUANJI XUEYUAN, CN, vol. 32, no. 3, 1 March 2010 (2010-03-01), CN, pages 137 - 140, XP055765585, ISSN: 1007-130X
ZHANG DEFENG, ZILONG MA: "SVD-QR D -FNN Research on D-FNN Algorithm with the Combination of Column Pivot SVD-QR Method Pruning Strategy and Parameters Adjustment", ACTA SCIENTIARUM NATURALIUM UNIVERSITATIS SUNYATSENI, vol. 52, no. 2, 1 March 2013 (2013-03-01), pages 8 - 13, XP055765597, DOI: 10.13471/j.cnki.acta.snus.2013.02.002
SHIQIAN WU ET AL.: "Dynamic Fuzzy Neural Networks—A Novel Approach to Function Approximation", IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, vol. 30, no. 2,, 30 April 2000 (2000-04-30), XP011056881, ISSN: 1083-4419, DOI: 20200518175402Y
MA LI, DE-FENG ZHANG, YONG XU: "A Bio-Engineering Algorithm Research Based on Dynamic F uzzy Neural Netw orks", COMPUTER ENGINEERING AND SCIENCE, GUOFANG KEJI DAXUE JISUANJI XUEYUAN, CN, vol. 32, no. 3, 1 March 2010 (2010-03-01), CN, pages 137 - 140, XP055765585, ISSN: 1007-130X
ZHANG DEFENG, ZILONG MA: "SVD-QR D -FNN Research on D-FNN Algorithm with the Combination of Column Pivot SVD-QR Method Pruning Strategy and Parameters Adjustment", ACTA SCIENTIARUM NATURALIUM UNIVERSITATIS SUNYATSENI, vol. 52, no. 2, 1 March 2013 (2013-03-01), pages 8 - 13, XP055765597, DOI: 10.13471/j.cnki.acta.snus.2013.02.002
SHIQIAN WU ET AL.: "Dynamic Fuzzy Neural Networks—A Novel Approach to Function Approximation", IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, vol. 30, no. 2,, 30 April 2000 (2000-04-30), XP011056881, ISSN: 1083-4419, DOI: 20200518175402Y
Attorney, Agent or Firm:
JIAQUAN IP LAW FIRM (CN)
Download PDF: