Observer-based adaptive neural control of nonlinear time-delay systems with unknown output function and unknown control directions

被引:6
作者
Hong, Biyao [1 ]
Yu, Zhaoxu [1 ]
Li, Shugang [2 ]
机构
[1] East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai, Peoples R China
[2] Shanghai Univ, Dept Informat Management, Shanghai, Peoples R China
关键词
Nonlinear time-delay system; adaptive control; unknown output function; unknown control directions; backstepping; DYNAMIC SURFACE CONTROL; FEEDBACK STABILIZATION; CONTROL COEFFICIENTS;
D O I
10.1080/00207721.2020.1837993
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with the problem of output feedback adaptive tracking control for a class of uncertain nonlinear time-delay systems (NTDS) with both uncertain output function and unknown control directions. By introducing a linear state transformation, the original system is transformed into a new system for which output feedback control design becomes feasible. Without the precise information on output function, an input-driven high-gain state observer is presented to estimate the unavailable states of the new system. Moreover, some radial basis function neural networks (RBFNNs) are employed to approximate the lumped unknown nonlinear functions during the procedure of control design. Then, by combining the Lyapunov-Krasovskii functional method, the Nussbaum gain function approach and the backstepping technique, a novel adaptive output feedback control scheme including only one parameter to be updated is developed for such systems. As a result, all signals in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) while the tracking error can remain in a small neighbourhood of zero. Finally, two simulation examples are given to validate the effectiveness and applicability of the proposed design method.
引用
收藏
页码:710 / 726
页数:17
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