Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach
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Fuzzy logic systems or neural networks provide estimates for unknown terms or parameters, enhancing the adaptability of the control approach due to their approximation capabilities.
“These methods play a crucial role in providing estimates for the unknown terms or parameters, enhancing the adaptability of the control approach due to their approximation capabilities [5][6][7].”
From Fixed-Time Adaptive Control for Nonstrict-Feedback Nonlinear Systems with Input Delay and Unknown Backlash-Like Hysteresis (2025) · cites this paper as [6]
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Kharrat, M., & Alhazmi, H. (2025) · Neural Processing Letters · doi:10.1007/s11063-025-11749-7 · Cited by 5 · see citing works
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- Authors
- Shan, Z.-D., He, W.-J., Han, Y.-Q., & Zhu, S.-L.
- Affiliations
- Qingdao University of Science and Technology (CN)
- Corresponding author
- Zhu, Shan-Liang
- Venue
- Neural Processing Letters
- Published
- 2022-09-06
- Volume
- 55
- Issue
- 3
- Pages
- 3509-3531
- ISSN
- 1370-4621 (ISSN-L)
- 1573-773X
- OpenAlex
- W4294754978
- Cited by
- 2
- References
- 41
- Citations by year
- 2025: 2
- FWCI
- 0.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Neural Processing Letters (publishedVersion)
- Funders
- Natural Science Foundation of Shandong Province (No. ZR2020QF055)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Keywords
- decentralized control, output tracking control, large-scale nonlinear systems, dynamic uncertainty, multi-dimensional Taylor network, adaptive control, backstepping control, unknown nonlinearities
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