NDLI: Nonlinear adaptive control method based on ANFIS and multiple models

Content Provider	IEEE Xplore Digital Library
Author	Yajun Zhang Tianyou Chai Yue Fu Hong Niu
Copyright Year	2009
Description	Author affiliation: Key Laboratory of Integrated Automation of Process Industry, Ministry of Education and with the Research Center of Automation, Northeastern University, China (Yajun Zhang; Tianyou Chai; Yue Fu) \|\| institute of system science, Northeastern University, China (Hong Niu)
Abstract	An adaptive control method based on adaptive-network-based fuzzy inference system (ANFIS) and multiple models is proposed for a class of uncertain discrete-time nonlinear systems with unstable zero-dynamics. The approach is composed of a linear robust adaptive controller, a nonlinear adaptive controller based on ANFIS and switching mechanism. The linear controller ensures the boundedness of the input and output signals, and the nonlinear controller improves the performance of the system. By using the switching scheme, the performance is improved and the stability is achieved simultaneously. Moreover, the ANFIS is used to estimate and compensate the unmodeled dynamics adaptively, which overcomes the uncertainty of neural network and saves the training time of the network and at the same time avoids the possibility that the network becomes trapped in local minima and so on. It improves the convergence rate and the precision of the unmodeled dynamics estimation, thereby improving the control effect. Stability and convergence analysis of the proposed method are established. The simulation results show the effectiveness of the approach.
Starting Page	1387
Ending Page	1392
File Size	704744
Page Count	6
File Format	PDF
ISBN	9781424438716
ISSN	01912216
DOI	10.1109/CDC.2009.5399518
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive control Programmable control Nonlinear control systems Control systems Convergence Fuzzy control Fuzzy systems Nonlinear systems Robust control Stability
Content Type	Text
Resource Type	Article

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