The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions
Abstract
This paper presents an adaptive output-feedback neural network (NN) control scheme for a class of stochastic nonlinear time-varying delay systems with unknown control directions. To make the controller design feasible, the unknown control coefficients are grouped together and the original system is transformed into a new system using a linear state transformation technique. Then, the Nussbaum function technique is incorporated into the backstepping recursive design technique to solve the problem of unknown control directions. Furthermore, under the assumption that the time-varying delays exist in the system output, only one NN is employed to compensate for all unknown nonlinear terms depending on the delayed output. Moreover, by estimating the maximum of NN parameters instead of the parameters themselves, the NN parameters to be estimated are greatly decreased and the online learning time is also dramatically decreased. It is shown that all the signals of the closed-loop system are bounded in probability. The effectiveness of the proposed scheme is demonstrated by the simulation results.
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Cites
Nonlinear and adaptive control design
Krstić, M., Kokotović, P. V., & Kanellakopoulos, I. (1995) · Cited by 10,421
Chen, C. L. P., Wen, G.-X., Liu, Y.-J., & Wang, F.-Y. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2302477 · Cited by 634
Self-citationDirect adaptive NN control of a class of nonlinear systems
Ge, S. S., & Wang, C. (2002) · IEEE Transactions on Neural Networks · doi:10.1109/72.977306 · Cited by 618
Tong, S., Li, Y., Li, Y., & Liu, Y. (2011) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2159264 · Cited by 608
A DSC Approach to Robust Adaptive NN Tracking Control for Strict-Feedback Nonlinear Systems
Li, T.-S., Wang, D., Feng, G., & Tong, S.-C. (2010) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2033563 · Cited by 568
Self-citationFuzzy Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Stochastic Systems
Chen, C. L. P., Liu, Y.-J., & Wen, G.-X. (2014) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2013.2262935 · Cited by 507
Self-citationChen, W., Jiao, L., Li, J., & Li, R. (2010) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2033808 · Cited by 430
Adaptive neural network control of nonlinear systems with unknown time delays
Ge, S. S., Hong, F., & Lee, T. H. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.819287 · Cited by 348
Tong, S. C., Li, Y. M., & Zhang, H.-G. (2011) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2011.2146274 · Cited by 317
Robust backstepping control for a class of time delayed systems
Hua, C., Guan, X., & Shi, P. (2005) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2005.849255 · Cited by 261
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Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
Li, H., Zhao, S., He, W., & Lu, R. (2019) · Automatica · doi:10.1016/j.automatica.2018.10.030 · Cited by 555
Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems
Chen, M., Wang, H., & Liu, X. (2021) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2019.2959972 · Cited by 405
Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay
Li, D.-P., Liu, Y.-J., Tong, S., Chen, C. L. P., & Li, D.-J. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2799683 · Cited by 382
Self-citationAdaptive Neural Control of Uncertain Nonlinear Systems Using Disturbance Observer
Chen, M., Shao, S.-Y., & Jiang, B. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2667680 · Cited by 292
Adaptive neural control for non-strict-feedback nonlinear systems with input delay
Wang, H., Liu, S., & Yang, X. (2020) · Information Sciences · doi:10.1016/j.ins.2019.09.043 · Cited by 152
Metadata
- Authors
- Li, T., Li, Z., Wang, D., & Chen, C. L. P.
- Venue
- IEEE Transactions on Neural Networks and Learning Systems
- Published
- 2015-06
- Volume
- 26
- Issue
- 6
- Pages
- 1188-1201
- ISSN
- 2162-237X (ISSN-L)
- 2162-2388
- OpenAlex
- W2086762105
- Cited by
- 256
- References
- 19
- FWCI
- 16.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, T., Li, Z., Wang, D., & Chen, C. L. P. (2015). Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2014.2334638
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