Robust Adaptive Sampled-Data Control Scheme for a Class of Uncertain Nonlinear Systems

被引：2

作者：

Ghaffari, Valiollah ^{[1
]}

机构：

[1] Persian Gulf Univ, Sch Engn, Dept Elect Engn, Bushehr, Iran

来源：

CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2021年 / 40卷 / 05期

关键词：

Robust adaptive control; Sampled-data control; Lyapunov's stability theory; Uncertain nonlinear systems; COMPLEX DYNAMICAL NETWORKS; EXPONENTIAL SYNCHRONIZATION; INPUT;

D O I：

10.1007/s00034-020-01586-5

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a simple robust adaptive sampled-data control law is addressed for a class of uncertain continuous-time systems. For achieving this goal, firstly, the regulation problem and H-infinity control designs would be formulated in the uncertain continuous-time systems via including a sampler and data-hold circuits. Then, a robust adaptive digital control law will be derived by using the discrete-time Lyapunov's stability theory. The results are numerically implemented in two nonlinear uncertain systems. The simulations show the effectiveness of the proposed robust adaptive digital control method compared with the other techniques.

引用

页码：2282 / 2301

页数：20

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