Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 120, Issue -, Pages 239-252Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2018.11.040
Keywords
Fuzzy logic system; Backstepping; Dynamic surface control; Uncertain nonlinear system
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Funding
- National Natural Science Foundation of China [61773351]
- Outstanding Young Talent Research Fund of Zhengzhou University [1521319025]
- Natural Science Foundation of Henan Province [162300410260]
- Training Plan for University's Young Backbone Teachers of Henan Province [2017GGJS004]
- Science and Technology Innovation Research Team Support Plan of Henan Province [17IRTSTHN013]
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In this paper, a singularity-free adaptive fuzzy backstepping control (AFBC) scheme is presented for uncertain nonlinear SISO systems with triangular structure by using dynamic surface control (DSC) design technique. As the intelligent approximator, fuzzy logic systems are employed to approximate the continuous nonlinear unknown functions in the uncertain systems. By utilizing DSC design technique into AFBC design framework, the proposed intelligent-based adaptive control system can overcome the problem of explosion of complexity inherent in the backstepping design method. Moreover, the further benefits of the proposed intelligent-based adaptive control method are that the control singularity problem is completely prevented and the upper bounds of the time differential of the gain functions are no longer needed during the control scheme design. Based on the backstepping technique, it can be proven that the closed-loop system is stable in the sense that all the variables are guaranteed to be bounded. The simulation examples demonstrate and validate the effectiveness of the proposed intelligent-based adaptive control method. (C) 2018 Elsevier Ltd. All rights reserved.
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