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Content Provider | IEEE Xplore Digital Library |
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Author | Yong-Hua Liu Ying Feng Juan Du Chun-Yi Su |
Copyright Year | 2012 |
Description | Author affiliation: College of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, 510640 China (Yong-Hua Liu; Ying Feng; Juan Du; Chun-Yi Su) |
Abstract | Focusing on a class of pure-feedback nonlinear time-delay systems with unknown hysteresis input, an adaptive control method is discussed in this paper. For such nonlinear systems, the nonaffine structure and the non-smooth hysteresis nonlinearities are the major challenges for the controller design. To deal with the nonaffine problem of pure-feedback systems, mean-value theorem is adopted to transform the systems as affine form, and neural network approximator is utilized to estimate the unknown system functions. For the unknown preceded hysteresis nonlinearities, the Backlash-like model is utilized as an illustration to show the way dealing with the unknown hysteresis input. Following the backstepping design procedure, a dynamic surface control approach is investigated to avoid the complexity of controller by applying the low-pass filters at each step, and the semiglobal uniform ultimate boundedness of the signals in the closed-loop system is ensured. The proposed control method explores the validity mitigating the negative effects caused by the unknown hysteresis, and the simulation results validate the effectiveness of the proposed design scheme. |
Starting Page | 1068 |
Ending Page | 1073 |
File Size | 146448 |
Page Count | 6 |
File Format | |
ISBN | 9781467312752 |
e-ISBN | 9781467312783 |
DOI | 10.1109/ICMA.2012.6283398 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-08-05 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Hysteresis Nonlinear systems Closed loop systems Control design Neural networks Adaptive systems Educational institutions pure-feedback Adaptive neural control dynamic surface control hysteresis |
Content Type | Text |
Resource Type | Article |
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