Adaptive Fuzzy Predefined Accuracy Control for Output Feedback Cooperation of Nonlinear Multiagent Systems Under Input Quantization
Dajie Yao, Xiangpeng Xie, Choon Ki Ahn
Abstract
This article focuses on an adaptive output feedback control for nonlinear multi-agent systems (MASs) with input quantization and unknown control gains by applying a predefined accuracy approach. Unlike the existing predefined accuracy control (PAC) approaches, a predefined accuracy scheme of the output feedback control (OFC) for nonlinear multi-agent systems is studied for the first time in this article. Moreover, the issues of input quantization and unknown control gains are introduced for the presented method, which can be addressed depending on the Nussbaum function. To reduce the problem of computational complexity, a dynamic surface technique is applied with a nonlinear filter. By employing the backstepping methodology and fuzzy logic systems, a distributed fuzzy controller can be established to ensure the tracking errors converge to a prespecified precision. Finally, some simulation results expound the accuracy of the presented control method.