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Dynamic event-triggered adaptive tracking control for stochastic nonlinear systems with deferred time-varying constraints

Author

Listed:
  • Wang, Dong-Mei
  • Han, Yu-Qun
  • Lu, Li-Ting
  • Zhu, Shan-Liang

Abstract

This article investigates the problem of adaptive tracking control for stochastic nonlinear systems with deferred state constraints. The novel unified universal barrier function (UUBF) and deferred funnel error transformation are developed to handle various state constraints and adjust the tracking error more precisely, respectively. Multi-dimensional Taylor network (MTN) and dynamic event-triggered mechanism (DETM) are employed to design controller in the backstepping process, which can achieve full-state constraints and the tracking control after the preassigned time while conserving more communication resources. Finally, two simulation examples are presented to verify the effectiveness of the proposed control scheme.

Suggested Citation

  • Wang, Dong-Mei & Han, Yu-Qun & Lu, Li-Ting & Zhu, Shan-Liang, 2024. "Dynamic event-triggered adaptive tracking control for stochastic nonlinear systems with deferred time-varying constraints," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:chsofr:v:182:y:2024:i:c:s0960077924003667
    DOI: 10.1016/j.chaos.2024.114814
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    References listed on IDEAS

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    1. Fu, Yingying & Li, Jing & Li, Xiaobo & Wu, Shuiyan, 2023. "Dynamic event-triggered adaptive control for uncertain stochastic nonlinear systems," Applied Mathematics and Computation, Elsevier, vol. 444(C).
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