Cited by 382Adaptive Control of Nonlinear SystemsStability and Control of Uncertain SystemsNeural Networks Stability and Synchronization

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Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay

Li, Da-Peng, Liu, Yan-Jun, Tong, Shaocheng, Chen, C. L. Philip, Li, Dong-Juan·2019·IEEE Transactions on Cybernetics

DOI 10.1109/tcyb.2018.2799683

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Abstract

This paper addresses the problem of adaptive tracking control for a class of strict-feedback nonlinear state constrained systems with input delay. To alleviate the major challenges caused by the appearances of full state constraints and input delay, an appropriate barrier Lyapunov function and an opportune backstepping design are used to avoid the constraint violation, and the Pade approximation and an intermediate variable are employed to eliminate the effect of the input delay. Neural networks are employed to estimate unknown functions in the design procedure. It is proven that the closed-loop signals are semiglobal uniformly ultimately bounded, and the tracking error converges to a compact set of the origin, as well as the states remain within a bounded interval. The simulation studies are given to illustrate the effectiveness of the proposed control strategy in this paper.

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Authors: Li, D.-P., Liu, Y.-J., Tong, S., Chen, C. L. P., & Li, D.-J.
Affiliations: Liaoning University of Technology (CN)
University of Macau (MO)
ORCID: Li, Da-Peng
Liu, Yan-Jun
Tong, Shaocheng
Chen, C. L. Philip
Li, Dong-Juan
Venue: IEEE Transactions on Cybernetics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2019-04
Volume: 49
Issue: 4
Pages: 1249-1258
ISSN: 2168-2267 (ISSN-L)
2168-2275
DOI: 10.1109/tcyb.2018.2799683
OpenAlex: W2790630269
Cited by: 382
References: 74
Citations by year: 2026: 23 · 2025: 33 · 2024: 50 · 2023: 38 · 2022: 49 · 2021: 43 · 2020: 72 · 2019: 48
FWCI: 29.08
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
Locations: IEEE Transactions on Cybernetics (publishedVersion)
PubMed (publishedVersion)
Funders: National Natural Science Foundation of China (61622303, 61603164, 61773188)
Program for Liaoning Innovative Research Team in University (LT2016006)
Fundamental Research Funds for the Universities of Liaoning Province (JZL201715402)
Program for Distinguished Professor of Liaoning Province
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 › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
Keywords: adaptive tracking control, strict-feedback nonlinear systems, state constraints, input delay, barrier Lyapunov function, backstepping control, Padé approximants, neural network function approximation, semi-global uniform ultimate boundedness, constraint violation avoidance

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Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay

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