This paper focuses on an observer-based output-feedback controller design for a nonlinear discrete-time system. The major characteristics of this system is that all of the subsystems are in strict-feedback form and all the states of the system are not measurable. An output tracking control problem is firstly considered in this paper. NNs are utilized to approximate unknown functions, while a state observer is designed to approximatethe unvailable states. An adaptive controller is designed on the basis of the backstepping technique. On the basis of the Lyapunov analysis approach, the boundedness of all the signals is provided. The feasibility of the proposed scheme is verified through a simulation example.

中文翻译：

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非线性严格反馈离散时间系统的基于观测器的自适应神经网络输出反馈控制

本文重点介绍非线性离散时间系统的基于观测器的输出反馈控制器设计。该系统的主要特点是所有子系统都是严格反馈形式，系统的所有状态都是不可测的。本文首先考虑了一个输出跟踪控制问题。神经网络被用来逼近未知函数，而状态观察器被设计来逼近不可用状态。基于反推技术设计了自适应控制器。在李雅普诺夫分析方法的基础上，提供了所有信号的有界性。通过仿真实例验证了所提出方案的可行性。