Adaptive interval type-2 fuzzy controller for nonlinear networked Wiener systems subject to packet dropout and time-varying delay

被引:4
|
作者
El-Nagar, Ahmad M. [1 ]
Khalifa, Tarek R. [1 ]
El-Brawany, Mohamed A.
El-Bardini, Mohammad [1 ]
El-Araby, Essam A. G. [1 ]
机构
[1] Menoufia Univ, Dept Ind Elect & Control Engn, Fac Elect Engn, Menof 32852, Egypt
关键词
Adaptive type-2 fuzzy control; Networked control systems (NCS); Packet dropout; Time-varying network-induced delay; PERFORMANCE; CONSTRAINTS;
D O I
10.1016/j.isatra.2021.10.018
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a novel adaptive interval type-2 fuzzy controller (AIT2FC) is proposed for a class of nonlinear networked Wiener systems under packet dropout and time varying delay. The proposed AIT2FC compensates the negative effects of the packet dropout and time varying delay in both forward and feedback loops. The structure of the proposed AIT2FC has three parts, an adaptive interval type-2 Takagi-Sugeno (IT2TS) fuzzy controller, an IT2TS fuzzy Wiener model (IT2TS-FWM), and a time-varying delay and packet dropout compensator. The adaptive IT2TS fuzzy controller has a cascade connection; an IT2TS fuzzy controller followed by an inverse of an autoregressive moving average (IARMA) system. The nonlinear Wiener system is identified online by an IT2TS-FWM. An adaptive Smith predictor (ASP) is proposed to compensate the negative effects related to the time-varying delay. For each communication channel, the packet dropout is compensated via designing a compensation term in the stochastic Bernoulli approach. Based on the Lyapunov stability (LS) function, the parameters of the proposed AIT2FC are updated online. Also, the learning rates are updated online based on the LS function to avoid singularities and guarantee both the stability and fast convergence of the AIT2FC. The results conclude that the proposed controller is better than the other existing controllers. (c) 2021 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:565 / 580
页数:16
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