ANFIS modeling based on T-S model and its application for thermal process

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 26, Issue 15, 2006, Pages 78-82

  Yu, Xi Ning ^a   Cheng, Feng Zhang ^a   Zhu, Li Ling ^a   Wang, Yi Jia ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Adaptive neural fuzzy inference system; Fuzzy modeling; Neural network; Nonlinear; Thermal process

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER SIMULATION; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; NEURAL NETWORKS;

ADAPTIVE NEURAL FUZZY INFERENCE SYSTEM (ANFIS); FUZZY MODELING; NONLINEAR; T S MODEL; THERMAL PROCESS;

THERMAL VARIABLES CONTROL;

EID: 33749016200     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Zhang Tiejun, Lu Jianhong, Yu Kaijiang. A new approach for predictive control based on fuzzy decision-making and its application to thermal process[J]. Proceedings of the CSEE, 2004, 24(6): 179-184 (in Chinese).
2. Liu Zhiyuan, Lu Jianhong, Chen Laijiu. A novel RBF neural network and its application in thermal processes modeling[J]. Proceedings of the CSEE, 2002, 22(9): 118-122 (in Chinese).
3. Liu Xiangjie, Peng Yimin, Zhou Xiaoxin. Identification of boiler models and its fuzzy logic control strategy[J]. Proceedings of the CSEE, 1999, 19(8): 1-6 (in Chinese).
4. Takagi T, Sugeno M. Fuzzy identification of systems and its application to modeling and control[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1985, 51(1): 116-132.
5. Zhu Hongxia, Shen Jiong, Li Yiguo, et al. A novel dynamic clustering algorithm and its application in fuzzy modeling for thermal processes[J]. Proceedings of the CSEE, 2005, 25(7): 34-39 (in Chinese).
6. Tong Shuhong, Shen Yi, Liu Zhiyan. Approach to construct fuzzy classification system with clustering[J]. Control and Decision, 2001, 16(11): 737-744 (in Chinese).
7. Gómez-Skarmeta A F, Delgado M, Vila M A. About the use of fuzzy clustering techniques for fuzzy model identification[J]. Fuzzy Sets and Systems, 1999, 106(2): 179-188.
8. Deng Hui, Sun Zengqi, Sun Fuchun. The fuzzy cluster identification algorithm[J]. Control Theory and Applications, 2001, 18(2): 171-175 (in Chinese).
9. Yue Yufang, Mao Jianqing. An adaptive modeling method based on T-S fuzzy models[J]. Control and Decision, 2002, 17(2): 155-158 (in Chinese).
10. Li Shaoyuan, Wang Qunxian, Chen Zengqiang, et al. Fuzzy identification based on Sugeno fuzzy model[J]. Nankai Science and Technology, 1999, 32(1): 58-63 (in Chinese).
11. Sun Zengqi, Xu Hongbin. Neuro-fuzzy network based on T-S fuzzy models[J]. Journal of Tsinghua University (Sci. and Tech.), 1997, 37(3): 76-80 (in Chinese).
12. Azeem M F, Hanmandlu M, Ahmad N. Generalization of adaptive neuro-fuzzy inference systems[J]. IEEE Transactions on Neural Network, 2000, 11(6): 1332-1346.
13. Li L, Hou C Z. The study of application of FCMAC neural network in the industrial process on-line identification and optimization[C]. Proceedings of the 9th International Conference on Neural Information Processing, Singapore, Orchid Country Club, 2002, 1734-1738.
14. Jang J S R. ANFIS: adaptive network-based fuzzy inference system[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1993, 23(5): 605-684.
15. Lu J H, Xu Z G. The feedback realization of the generalized nyquist multivariable predictive control and its application[J]. Cybernetics and Systems, 1993, 24(6): 573-589.
16. Lu Jianhong, Chen Jianqin, Liu Zhiyuan, et al. A study on fuzzy rules based and nonlinear models for thermal processes[J]. Proceedings of the CSEE, 2002, 22(11): 132-137 (in Chinese).
17. Zhao Wenjie, Niu Yuguang. Adaptive cascade steam temperature[J]. Computer Simulation, 2003, 20(5): 109-112 (in Chinese)