Dual T-S Fuzzy Model Identification with Improved Cooperative PSO
会议名称：《第三十届中国控制会议》
会议日期：2011年
学科分类：0711[理学-系统科学] 07[理学] 071102[理学-系统分析与集成]
关 键 词：Dual T-S fuzzy models Clustering Particle swarm optimization Kernel function Cooperative strategy
摘 要：In this paper,an approach of identification with dual T-S fuzzy models is *** model proposed is based on dual T-S different in *** main contribution is that dual T-S fuzzy models can be constructed automatically with linear and nonlinear parts to approximate the optimal structure,and control factors are introduce to determine which T-S fuzzy model play more important role to achieve the optimal structure and *** key problem is to select the control factors reasonably and identify the ***,To cope with the structure problem,an approach of automatically extracting fuzzy rules is exploited to achieve the optimal *** the identification,the fuzzy C-mean clustering based on kernel function is utilized to partition the data space and extract a set of fuzzy ***,improved cooperative particle swarm optimization algorithm(ICPSO) is put forward to apply in the optimization of the *** ICPSO is proposed to enhance the search the space and it employs several sub-swarms to search the space and useful information is exchange among them during the iteration process,which make the identification of dual T-S more *** simulation example shows the efficacy of the proposed method.