Interval type 2 hierarchical FNN with the H-infinity condition for MIMO non-affine systems
學年 101
學期 1
出版（發表）日期 2012-08-01
作品名稱 Interval type 2 hierarchical FNN with the H-infinity condition for MIMO non-affine 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 Applied Soft Computing 12(8), p.1996-2011
摘要 To develop a controller that deals with noise-corrupted training data and rule uncertainties for interconnected multi-input–multi-output (MIMO) non-affine nonlinear systems with unmeasured states, an interval type-2 fuzzy system is integrated with an observer-based hierarchical fuzzy neural controller (IT2HFNC) in this paper. Also, an H∞ control technique and a strictly positive real Lyapunov (SPR-Lyapunov) design approach are employed for attenuating the influence of both external disturbances and fuzzy logic approximation error on the tracking of errors. Moreover, the proposed hierarchical fuzzy structure can greatly reduce the number of adjusted parameters of the IT2HFNC, and then, the problem of online computational burden can be solved. According to the design of the interval type-2 fuzzy neural network and H∞ control technique, the IT2HFNN controller can improve its robustness to noise, uncertainties, approximation errors, and external disturbances. Simulation results are reported to show the performance of the proposed control system mode and algorithms.
關鍵字 MIMO non-affine systems;Fuzzy neural control;Interval type-2 fuzzy systems
語言 en
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 BES
公開徵稿
出版型式 ,電子版
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115964 )