教師資料查詢 | 類別: 期刊論文 | 教師: 李宜勳 LI, I-HSUN (瀏覽個人網頁)

標題:A Hierarchical Structure of Observer-Based Adaptive Fuzzy-Neural Controller for MIMO Systems Fuzzy Sets and Systems
學年100
學期1
出版(發表)日期2011/12/15
作品名稱A Hierarchical Structure of Observer-Based Adaptive Fuzzy-Neural Controller for MIMO Systems Fuzzy Sets and Systems
作品名稱(其他語言)
著者I.H.Li; L.W.Lee
單位
出版者
著錄名稱、卷期、頁數Fuzzy Sets and Systems 185(1), p.52-82
摘要An observer-based adaptive controller developed from a hierarchical fuzzy-neural network (HFNN) is employed to solve the controller time-delay problem for a class of multi-input multi-output (MIMO) non-affine nonlinear systems under the constraint that only system outputs are available for measurement. By using the implicit function theorem and Taylor series expansion, the observer-based control law and the weight update law of the HFNN adaptive controller are derived. According to the design of the HFNN hierarchical fuzzy-neural network, the observer-based adaptive controller can alleviate the online computation burden. Moreover, the common adaptive controller is utilized to control all the MIMO subsystems. Hence, the number of adjusted parameters of the HFNN can be further reduced. In this paper, we prove that the proposed observer-based adaptive controller can guarantee that all signals involved are bounded and that the outputs of the closed-loop system track asymptotically the desired output trajectories.
關鍵字Hierarchical systems;Adaptive control;Fuzzy-neural control;MIMO systems
語言英文
ISSN
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別荷蘭加勒比區
公開徵稿
出版型式,電子版
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