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Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems
Abstract
This paper studies an adaptive tracking control for a class of nonlinear stochastic systems with unknown functions. The considered systems are in the nonaffine pure-feedback form, and it is the first to control this class of systems with stochastic disturbances. The fuzzy-neural networks are used to approximate unknown functions. Based on the backstepping design technique, the controllers and the adaptation laws are obtained. Compared to most of the existing stochastic systems, the proposed control algorithm has fewer adjustable parameters and thus, it can reduce online computation load. By using Lyapunov analysis, it is proven that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded in probability and the system output tracks the reference signal to a bounded compact set. The simulation example is given to illustrate the effectiveness of the proposed control algorithm.
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Cited by
Adaptive Neural Network Control of a Robotic Manipulator With Time-Varying Output Constraints
He, W., Huang, H., & Ge, S. S. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2711961 · Cited by 361
Adaptive Neural Network Control of a Flapping Wing Micro Aerial Vehicle With Disturbance Observer
He, W., Yan, Z., Sun, C., & Chen, Y. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2720801 · Cited by 328
Li, T., Li, Z., Wang, D., & Chen, C. L. P. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2334638 · Cited by 256
Self-citationAdaptive Neural Control of Stochastic Nonlinear Time-Delay Systems With Multiple Constraints
Wang, T., Qiu, J., & Gao, H. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2562511 · Cited by 170
Adaptive Intelligent Control of Nonaffine Nonlinear Time-Delay Systems With Dynamic Uncertainties
Wang, H., Sun, W., & Liu, P. X. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2627048 · Cited by 151
Metadata
- Authors
- Chen, C. L. P., Liu, Y.-J., & Wen, G.-X.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2014-05
- Volume
- 44
- Issue
- 5
- Pages
- 583-593
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2164136313
- Cited by
- 507
- References
- 0
- FWCI
- 53.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, C. L. P., Liu, Y.-J., & Wen, G.-X. (2014). Fuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2013.2262935
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