For the nonlinear systems with input saturation constraint, a novel MTN-based output-feedback control strategy is developed via backstepping in this paper. Firstly, an MTN-based nonlinear state observer is designed to estimate the unmeasured states. Secondly, multi-dimensional Taylor networks (MTNs) are used to deal with the unknown nonlinear functions, based on this, the procedure of the adaptive MTN output-feedback controller design is developed by combining backstepping approach and dynamic surface control technique, and then the stability of the closed-loop system is proved based on the principle of Lyapunov stability theory. Finally, the theoretical results of this paper are demonstrated by two examples.

中文翻译：

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一类具有输入饱和的非线性系统的自适应输出反馈跟踪控制：一种基于多维泰勒网络的方法

对于具有输入饱和约束的非线性系统，本文通过反步开发了一种新的基于 MTN 的输出反馈控制策略。首先，设计了一个基于 MTN 的非线性状态观测器来估计未测量的状态。其次，利用多维泰勒网络(MTNs)处理未知的非线性函数，在此基础上，结合反步法和动态表面控制技术，开发了自适应MTN输出反馈控制器设计程序，然后基于李雅普诺夫稳定性理论的原理证明了闭环系统的稳定性。最后，通过两个例子来证明本文的理论结果。