Fuzzy recurrent neural network modeling based on chaos DNA genetic algorithm

Kongzhi Lilun Yu Yingyong/Control Theory and Applications

Volumn 28, Issue 11, 2011, Pages 1589-1594

  Chen, Xiao ^a   Wang, Ning ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Chaos theory; DNA; Fuzzy neural networks; Genetic algorithms; PH neutralization process

Indexed keywords

BASE SEQUENCES; BASED-ON CHAOS; CENTER POINTS; CHAOS OPTIMIZATION; DNA-BASED GENETIC ALGORITHMS; FUZZY-NEURAL; GENETIC MECHANISM; GENETIC OPERATORS; MODELING METHOD; PH NEUTRALIZATION PROCESS; RECURSIVE LEAST SQUARES ALGORITHMS; T-S FUZZY;

CHAOS THEORY; COMPUTER SIMULATION; DNA; DNA SEQUENCES; FUZZY NEURAL NETWORKS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; ORGANIC ACIDS; PROCESS CONTROL; RECURRENT NEURAL NETWORKS;

GENETIC ALGORITHMS;

EID: 84855440801     PISSN: 10008152     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. NIE J H, LOH A P, HANG C C. Modeling pH neutralization processes using fuzzy-neural approaches[J]. Fuzzy Sets and Systems, 1996, 78(1); 5-22.
2. CONG Qiumei, CHAI Tianyou, YU Wen. Modeling wastewater treatment plant via hierarchical neural networks[J]. Control Theory and Applications, 2009, 26(1); 8-14.
3. BAI Rui, CHAI Tianyou. Nonlinear intelligent PID control for the flowrate of red alkali slurry[J]. Control Theory and Applications, 2009, 25(4); 783-786.
4. LIN C J, CHEN C H. A compensation-based recurrent fuzzy neural network for dynamic system identification[J]. European Journal of Operational Research, 2006, 172(2); 696-715.
5. BARBOUNISA T G, THEOCHARIS J B. A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation[J]. Neurocomputing, 2007, 70(7/9); 1525-1542.
6. TAO Jili, WANG Ning, CHEN Xiaoming. Multi-objective optimization based FRNN and its application to pH control process[J]. Journal of Chemical Industry and Engineering (China), 2009, 60(11): 2820-2826.
7. CHEN Shiming, FANG Huajing. An evolutionary programming algorithm for constrained optimal planning problems[J]. Journal of Huazhong University of Science and Technology (Nature Science Edition), 2004, 32(3): 5-7.
8. WANG Gaoping, WANG Yongji. Applications of improved multiple objective genetic algor ithm in nustr iton decision making[J]. Computer Engineering and Applications, 2007, 43(4): 198-206.
9. PARK S, BHARGAVA S, CHASE G. Fitting of kinetic parameters of NO reduction by CO in fibrous media using a genetic algorithm[J]. Computer and Chemical Engineering, 2010, 34(4): 485-490.
10. MA Jianjun, LI Wenqiang, ZHENG Zhiqiang, et al. Yaw control of a flying wing aircraft based on nonlinear control allocation[J]. Flight Dynamic, 2009, 27(5): 29-32.
11. SUN Qiang, CHENG Ming. Nonlinear modeling for doubly salient permanent magnetic motor based on fuzzy neural network[J]. Control Theory and Applications, 2007, 24(4): 601-606.
12. CHOI JN, OH SK, PEDRYCZ W. Identification of fuzzy models using a successive tuning method with a variant identification ratio[J]. Fuzzy Sets and Systems, 2008, 159(21): 2873-2889.
13. KHALED B. Genetic algorithm for the design of a class of fuzzy controller: an alternative approach[J]. IEEE Transactions on Fuzzy Systems, 2008, 8(8): 398-405.
14. REN Lihong, DING Yongsheng, SHAO Shihuang. Optimal design of TS fuzzy control system based on DNA genetic algorithm[J]. Control and Decision, 2001, 16(1): 16-20.
15. TAO J L, WANG N. DNA computing based RNA genetic algorithm with applications in parameter estimation of chemical engineering processes[J]. Computers and Chemical Engineering, 2007, 31(12): 1602-1618.
16. CHEN X, WANG N. A DNA based genetic algorithm for parameter estimation in the hydrogenation reaction[J]. Chemical Engineering Journal, 2009, 150(2/3): 527-535.
17. YANG Haidong, E Jiaqiang. An adaptive chaos immune optimization algorithm with mutative scale and its application[J]. Control Theory and Applications, 2009, 26(10): 1069-1074.
18. SONG Ying, CHEN Zengqiang, YUAN Zhuzhi. A nonlinear predictive controller based on chaos optimization[J]. Control Theory and Applications, 2007, 24(4): 561-564.
19. NAHAS EP, HENSON MA, SEBORG DE. Nonlinear internal model control strategy for neural network models[J]. Computers and Chemical Engineering, 1992, 16(12): 1039-1057.