Predictive Control Simulation Study Based on T-S Fuzzy Model
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] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程]
关 键 词：T-S model Generalized Predictive Control C-means clustering
摘 要：正A T-S fuzzy model was established for nonlinear system by a fuzzy identification method,fuzzy predictive control was developed by combining with generalized predictive *** this paper,the fuzzy identification method was based on fast fuzzy clustering,premise parameter identification using multi-step random sampling method,fuzzy C clustering method, parameter identification of the conclusions using least *** identification method divided fuzzy clustering into two parts,compared with the previous method,it can greatly shorten the time and has a high recognition *** terms of the nonlinear system,T-S fuzzy model has a good description of features,combined with the moving optimization of generalized predictive control to achieve effective control of nonlinear *** simulation results show that the algorithm is effective.