Adaptive decentralised neural fault-tolerant control for nonlinear interconnected systems with input time delays and full state constraints

Si-Yu Wang and Li-Bing Wu

International Journal of Systems Science, 2026, vol. 57, issue 3, 668-684

Abstract: This study addresses an adaptive decentralised fault-tolerant control strategy for a class of interconnected nonlinear systems with input time delays and full-state constraints. Firstly, based on the definition of unknown constants and nonlinear smooth functions, adaptive laws are designed to eliminate the influence of unknown interconnections. Secondly, the corresponding auxiliary systems are introduced to estimate the influence of the input time delays. Meanwhile, by incorporating the barrier Lyapunov functions, the system states do not violate the predefined constrained conditions. Finally, a decentralised fault-tolerant control mechanism is constructed to ensure that all the signals from the resulting closed-loop control systems are bounded. The simulation example is presented to illustrate the validity of the designed control scheme.

Date: 2026
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DOI: 10.1080/00207721.2025.2506009

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