The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis
Abstract
This paper considers the problem of adaptive neural control of stochastic nonlinear systems in nonstrict-feedback form with unknown backlash-like hysteresis nonlinearities. To overcome the design difficulty of nonstrict-feedback structure, variable separation technique is used to decompose the unknown functions of all state variables into a sum of smooth functions of each error dynamic. By combining radial basis function neural networks' universal approximation capability with an adaptive backstepping technique, an adaptive neural control algorithm is proposed. It is shown that the proposed controller guarantees that all the signals in the closed-loop system are four-moment semiglobally uniformly ultimately bounded, and the tracking error eventually converges to a small neighborhood of the origin in the sense of mean quartic value. Simulation results further show the effectiveness of the presented control scheme.
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Citations
Cites
Nonlinear and adaptive control design
Krstić, M., Kokotović, P. V., & Kanellakopoulos, I. (1995) · Cited by 10,421
Gaussian networks for direct adaptive control
Sanner, R. M., & Slotine, J.-J. E. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.165588 · Cited by 2,195
Systematic design of adaptive controllers for feedback linearizable systems
Kanellakopoulos, I., Kokotovic, P. V., & Morse, A. S. (1991) · IEEE Transactions on Automatic Control · doi:10.1109/9.100933 · Cited by 1,958
Stable Adaptive Neural Network Control
Ge, S. S., Hang, C. C., Lee, T. H., & Zhang, T. (2002) · Springer eBooks · doi:10.1007/978-1-4757-6577-9 · Cited by 1,149
Gaussian Networks for Direct Adaptive Control
Sanner, R. M., & Slotine, J.-J. E. (1991) · 1991 American Control Conference · doi:10.23919/acc.1991.4791778 · Cited by 1,072
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Chen, M., Ge, S. S., & Ren, B. (2011) · Automatica · doi:10.1016/j.automatica.2011.01.025 · Cited by 1,056
A robust adaptive nonlinear control design
Polycarpou, M. M., & Ioannou, P. A. (1996) · Automatica · doi:10.1016/0005-1098(95)00147-6 · Cited by 941
Stochastic nonlinear stabilization — I: A backstepping design
Deng, H., & Krstić, M. (1997) · Systems & Control Letters · doi:10.1016/s0167-6911(97)00068-6 · Cited by 763
Chen, M., Ge, S. S., & How, B. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 732
Direct adaptive fuzzy control of nonlinear strict-feedback systems
Chen, B., Liu, X., Liu, K., & Lin, C. (2009) · Automatica · doi:10.1016/j.automatica.2009.02.025 · Cited by 707
Self-citation
Cited by
Adaptive Fuzzy Tracking Control Design for SISO Uncertain Nonstrict Feedback Nonlinear Systems
Tong, S., Li, Y., & Sui, S. (2016) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2016.2540058 · Cited by 489
Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems
Sui, S., Chen, C. L. P., & Tong, S. (2019) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2018.2882167 · Cited by 363
Wang, H., Liu, K., Liu, X., Chen, B., & Lin, C. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2363073 · Cited by 324
Self-citationObserver-Based Adaptive Neural Network Control for Nonlinear Systems in Nonstrict-Feedback Form
Chen, B., Zhang, H., & Lin, C. (2016) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2412121 · Cited by 307
Self-citationAdaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems With Unmodeled Dynamics
Yin, S., Shi, P., & Yang, H. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2457894 · Cited by 305
Metadata
- Authors
- Wang, H., Chen, B., Liu, K., Liu, X., & Lin, C.
- Venue
- IEEE Transactions on Neural Networks and Learning Systems
- Published
- 2014-05
- Volume
- 25
- Issue
- 5
- Pages
- 947-958
- ISSN
- 2162-237X (ISSN-L)
- 2162-2388
- OpenAlex
- W1983294924
- Cited by
- 330
- References
- 25
- FWCI
- 29.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, H., Chen, B., Liu, K., Liu, X., & Lin, C. (2014). Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2013.2283879
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