This paper addresses the finite-time tracking issue for nonlinear quantized systems with unmeasurable states. Compared with the existing researches, the finite-time quantized feedback control is considered for the first time. By proposing a new finite-time stability criterion and designing a state observer, a novel adaptive neural output-feedback control strategy is raised by backstepping technique. Under the presented control scheme, the finite-time quantized feedback control problem is coped with without limiting assumption for nonlinear functions.

中文翻译：

---

量化非线性系统的自适应神经网络有限时间输出反馈控制


本文解决了具有不可测量状态的非线性量化系统的有限时间跟踪问题。与现有研究相比，首次考虑了有限时间量化反馈控制。通过提出新的有限时间稳定性准则并设计状态观测器，利用反步技术提出了一种新颖的自适应神经输出反馈控制策略。在所提出的控制方案下，无需限制非线性函数的假设即可解决有限时间量化反馈控制问题。