NDLI: Characteristic models and AILC design of time-varying nonlinear systems

Content Provider	IEEE Xplore Digital Library
Author	Mingxuan Sun Zhang Jie Hongbo Bi
Copyright Year	2014
Description	Author affiliation: Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China (Mingxuan Sun; Zhang Jie; Hongbo Bi)
Abstract	This paper presents a characteristic modeling method for continuous/discrete time-varying nonlinear systems, where the model, the first-order time-varying differential equation, is a unified one. Learning identification algorithms are suggested for the purpose of parameter estimation, and the adaptive iterative learning control strategy is proposed for achieving the perfect tracking of the desired trajectory over a pre-specified finite-time interval. The proposed control scheme is applied on a permanent-magnet synchronous motor, where the least squares/gradient learning algorithms with a forgetting factor are applied, respectively, and the experimental results are presented to demonstrate the effectiveness of the learning control schemes.
Starting Page	1650
Ending Page	1655
File Size	299143
Page Count	6
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852433
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models adaptive iterative learning control Educational institutions learning identification Electronic mail Mathematical model Nonlinear systems Sun Time-varying systems Characteristic models
Content Type	Text
Resource Type	Article

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