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| Representation Method of Dynamic Uncertain Knowledge Based on Fuzzy-Petri Net and Genetic-PSO Algorithm |
| PENG Xun, WANG Wei-Ming, GU Chao-Chen, HU Jie |
| Institute of Electromechanical Design and Knowledge Based Engineering, Shanghai Jiao Tong University, Shanghai 200240 |
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Abstract To represent and reason uncertain knowledge in the complex system dynamically and effectively, a self-adaptive method based on fuzzy-Petri net (FPN) and genetic particle swarm optimization (GPSO) algorithm is proposed. In this method, the knowledge-representation model based on FPN is established to build the mathematical model. And the GPSO is used in self-learning of the uncertain parameters to achieve self-adaptation of the model. Finally, a servo mechanism fault diagnose of launch vehicle is used to verify the proposed method.
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Received: 30 May 2013
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2014, Vol. 27 
