2017
DOI: 10.1002/asjc.1451
|View full text |Cite
|
Sign up to set email alerts
|

NON‐PDC Observer‐Based T‐S Fuzzy Tracking Controller Design and its Application in CHAOS Control

Abstract: In many mechanical devices with chaotic behavior, stabilizing unstable periodic orbits (UPOs) of the system has positive effects in the lifetime and effectiveness of these devices. In this study, a new non‐parallel distributed compensation (non‐PDC) observer‐based tracking controller is presented for Takagi–Sugeno fuzzy systems to control the chaotic behavior of such systems. Asymptotic stability synthesis of the closed‐loop system is investigated using a fuzzy Lyapunov function to derive less conservative con… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
14
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 22 publications
(14 citation statements)
references
References 43 publications
0
14
0
Order By: Relevance
“…For similar types of investigations we refer to [1,[32][33][34][35][36][37][38][39][40][41] for controlling chaos in discrete-time population models. For some other applications related to chaos control, see also [51][52][53][54][55][56][57][58][59][60][61][62].…”
Section: Chaos Controlmentioning
confidence: 99%
“…For similar types of investigations we refer to [1,[32][33][34][35][36][37][38][39][40][41] for controlling chaos in discrete-time population models. For some other applications related to chaos control, see also [51][52][53][54][55][56][57][58][59][60][61][62].…”
Section: Chaos Controlmentioning
confidence: 99%
“…Using this framework, many stability results for nonlinear systems have been reported in the literature (see, e.g. and the references therein). These works, especially in the continuous case, mainly use the so‐called quadratic Lyapunov function .…”
Section: Introductionmentioning
confidence: 99%
“…Controlling the chaos appeared to be an interesting challenge when trying to achieve high performance near stability boundaries . The latest research related to the control of nonlinear discrete MIMO systems using adaptive recurrent neural network enhanced variable structure is given in .…”
Section: Introductionmentioning
confidence: 99%