Adaptive tracking control for a class of uncertain nonlinear systems with infinite number of actuator failures using neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Link
http://link.springer.com/content/pdf/10.1186/s13662-017-1426-5.pdf
Reference47 articles.
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2. Wang, F, Liu, Z, Zhang, Y, Philip Chen, CL: Adaptive fuzzy control for a class of stochastic pure-feedback nonlinear systems with unknown hysteresis. IEEE Trans. Fuzzy Syst. 24(1), 140-152 (2016)
3. Tang, L, Zhao, J: Neural network based adaptive prescribed performance control for a class of switched nonlinear systems. Neurocomputing 230, 316-321 (2017)
4. Shi, XC, Lu, JW, Li, Z, Xu, SY: Robust adaptive distributed dynamic surface consensus tracking control for nonlinear multi-agent systems with dynamic uncertainties. J. Franklin Inst. 353, 4785-4802 (2016)
5. Wang, HQ, Chen, B, Liu, XP, Lin, C: Robust adaptive fuzzy tracking control for pure-feedback stochastic nonlinear systems with input constraints. IEEE Trans. Cybern. 43(6), 2093-2104 (2013)
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