教師資料查詢 | 類別: 期刊論文 | 教師: 黃志良 CHIH-LYANG HUANG (瀏覽個人網頁)

標題:A discrete-time multivariable neuro-adaptive control for nonlinear unknown dynamic systems
學年89
學期1
出版(發表)日期2000/12/01
作品名稱A discrete-time multivariable neuro-adaptive control for nonlinear unknown dynamic systems
作品名稱(其他語言)
著者黃志良
單位淡江大學電機工程學系
出版者
著錄名稱、卷期、頁數IEEE Transactions on Systems, Man and Cybern, Part B- Cybernetics 30(6), pp.865-877
摘要First, we assume that the controlled systems contain a nonlinear matrix gain before a linear discrete-time multivariable dynamic system. Then, a forward control based on a nominal system is employed to cancel the system nonlinear matrix gain and track the desired trajectory. A novel recurrent-neural-network (RNN) with a compensation of upper bound of its residue is applied to model the remained uncertainties in a compact subset /spl Omega/. The linearly parameterized connection weight for the function approximation error of the proposed network is also derived. An e-modification updating law with projection for weight matrix is employed to guarantee its boundedness and the stability of network without the requirement of persistent excitation. Then a discrete-time multivariable neuro-adaptive variable structure control is designed to improve the system performances. The semi-global (i.e., for a compact subset /spl Omega/) stability of the overall system is then verified by the Lyapunov stability theory. Finally, simulations are given to demonstrate the usefulness of the proposed controller.
關鍵字Nonlinear control systems;Control systems;Nonlinear dynamical systems;Stability;Gain;Trajectory;Recurrent neural networks;Upper bound;Uncertainty;Function approximation
語言英文(美國)
ISSN1083-4419
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,紙本
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