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Volume 31 Issue 06
Jun.  2005
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Journal of Beijing University of Aeronautics and Astronautics  > 2005  >  31(06): 595-598.
Liu Jiarun, Shen Gongzhang. Attitude control based on inverse dynamics and online parameter identification[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(02): 111-115. (in Chinese)
Citation: Xu Chunmei, Er Lianjie, Hu Hongjieet al. TSK-DRFNN and its constrained optimization algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(06): 595-598. (in Chinese)
shu

TSK-DRFNN and its constrained optimization algorithm

  • School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 12 Jan 2004
  • Publish Date: 30 Jun 2005
    Abstract
  • A novel DFNN(dynamic fuzzy neural networks )based on TSK(Takagi-Sugeno-Kang) fuzzy model was presented to the nonlinear dynamic system. The DFNN was constitutive of static networks and dynamic networks. The static networks realized premise and defuzification part. The recurrent dynamic networks realized by FIR filter was used for realizing consequence part. Beside this a new algorithm, constrained optimization method-FUNCOM(fuzzy neural constrained optimization method)was suggested for reducing the convergence time of networks parameter. The network training task was formulated as a constrained optimization problem. The proposed dynamic model equipped with the learning algorithm was applied in a nonlinear dynamic system. Comparisons with other FNN(fuzzy neural network) and DFNN (dynamic fuzzy neural network)were given and discussed, indicating the effectiveness of the DRFNN(dynamic recurrent fuzzy neural network) and the algorithm.

     

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