The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer
Abstract
In this paper, an adaptive neural output feedback control scheme is proposed for uncertain nonlinear systems that are subject to unknown hysteresis, external disturbances, and unmeasured states. To deal with the unknown nonlinear function term in the uncertain nonlinear system, the approximation capability of the radial basis function neural network (RBFNN) is employed. Using the approximation output of the RBFNN, the state observer and the nonlinear disturbance observer (NDO) are developed to estimate unmeasured states and unknown compounded disturbances, respectively. Based on the RBFNN, the developed NDO, and the state observer, the adaptive neural output feedback control is proposed for uncertain nonlinear systems using the backstepping technique. The first-order sliding-mode differentiator is employed to avoid the tedious analytic computation and the problem of “explosion of complexity” in the conventional backstepping method. The stability of the whole closed-loop system is rigorously proved via the Lyapunov analysis method, and the satisfactory tracking performance is guaranteed under the integrated effect of unknown hysteresis, unmeasured states, and unknown external disturbances. Simulation results of an example are presented to illustrate the effectiveness of the proposed adaptive neural output feedback control scheme for uncertain nonlinear systems.
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Citations
Cites
Robust exact differentiation via sliding mode technique
Levant, A. (1998) · Automatica · doi:10.1016/s0005-1098(97)00209-4 · Cited by 2,292
A nonlinear disturbance observer for robotic manipulators
Chen, W.-H., Ballance, D. J., Gawthrop, P. J., & O'Reilly, J. (2000) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.857974 · Cited by 1,752
Disturbance Observer Based Control for Nonlinear Systems
Chen, W.-H. (2004) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2004.839034 · Cited by 1,452
Sliding-Mode Control for Systems With Mismatched Uncertainties via a Disturbance Observer
Yang, J., Li, S., & Yu, X. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2183841 · Cited by 1,332
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
Self-citationAdaptive Neural Control of Uncertain MIMO Nonlinear Systems
Ge, S. S., & Wang, C. (2004) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.826130 · Cited by 971
Self-citationFull-order observers for linear systems with unknown inputs
Darouach, M., Zasadziński, M., & Xu, S. (1994) · IEEE Transactions on Automatic Control · doi:10.1109/9.280770 · Cited by 859
Chen, M., Ge, S. S., & How, B. (2010) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2010.2042611 · Cited by 732
Self-citationRobust adaptive control of a class of nonlinear systems with unknown backlash-like hysteresis
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Sliding Mode Control for Mismatched Uncertain Systems Using an Extended Disturbance Observer
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Cited by
Li, J., Ji, R., Liang, X., Ge, S. S., & Yan, H. (2022) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2022.3218574 · Cited by 659
Self-citationCui, R., Yang, C., Li, Y., & Sharma, S. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2645699 · Cited by 538
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
Self-citationAdaptive 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
Boundary Disturbance Observer-Based Control of a Vibrating Single-Link Flexible Manipulator
Zhao, Z., He, X., & Ahn, C. K. (2021) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2019.2912900 · Cited by 256
Metadata
- Authors
- Chen, M., & Ge, S. S.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2015-12
- Volume
- 62
- Issue
- 12
- Pages
- 7706-7716
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W1990380686
- Cited by
- 501
- References
- 30
- FWCI
- 39.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, M., & Ge, S. S. (2015). Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2015.2455053
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