吉林大学学报(工学版)

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Fuzzy processing strategy for CMMO with priority flexible constraints

Wang Wei, Li Ze-fei, Yuan Yong-zhou   

  1. Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China
  • Received:2007-01-22 Revised:2007-05-16 Online:2008-01-01 Published:2008-01-01
  • Contact: Li Ze-fei

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Abstract: Constrained multiobjective multidegree of freedom optimization (CMMO) is one of the most popular form used during the process of complex system optimization control design. To meet the demand of complex control, a new CMMO model with priority flexible constraints is developed, and the corresponding processing strategy based on fuzzy method is also presented. The processing strategy can not only guarantee to realize the outputs of the control system in priority order, but also make them in the optimal fuzzy satisfying degree. By some simulation results, the feasibility of the presented method is testified.

Key words: automatic control technology, priority, flexible constraint, CMMO, fuzzy optimization, processing strategy

CLC Number: 

  • TP273
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