2016
DOI: 10.1049/iet-cta.2016.0039
|View full text |Cite
|
Sign up to set email alerts
|

Hybrid control of stochastic chaotic system based on memristive Lorenz system with discrete and distributed time‐varying delays

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 33 publications
0
4
0
Order By: Relevance
“…Remark 1. e above problem requirement ( 10) is equivalent to find a state feedback controller (7) such that the closed-loop system ( 8) is similar to a linear time-invariant form with the desired eigenstructure; that is, A c is similar to an arbitrary matrix Λ by the proposed parametric approach.…”
Section: Problem Statement and Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…Remark 1. e above problem requirement ( 10) is equivalent to find a state feedback controller (7) such that the closed-loop system ( 8) is similar to a linear time-invariant form with the desired eigenstructure; that is, A c is similar to an arbitrary matrix Λ by the proposed parametric approach.…”
Section: Problem Statement and Preliminariesmentioning
confidence: 99%
“…Yu et al present a novel approach through switched control and superheteroclinic loops to linearize two symmetrical equilibria and also give the circuit implementation [6]. Zhang et al design a hybrid controller for the Lorenz system with a piecewise linear memristor and provide criteria to maintain that the trivial solutions are exponentially stable in the mean square [7]. Simultaneously, hidden attractors of the classical Lorenz system are also discussed [8,9].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it is necessary to consider stochastic systems. Of course, there is extensive literature in this area, such as [1][2][3]. Delayed systems are suited to describing such systems that not only depend on the present states, but also on the past states.…”
Section: Introductionmentioning
confidence: 99%
“…Bao et al [15,16] studied the complicated dynamical behaviors of the memristor oscillators. Although various memristor-based chaotic systems have been researched in recent years [17][18][19], the research of synchronization between two memristor-based hyperchaotic systems is rarely reported. Because the synchronization of the memristor-based chaotic systems is a challenging problem [20][21][22][23], chaotic behavior, especially the hyperchaotic behavior that has more than one positive Lyapunov exponent, may be uncoordinated and unpredictable.…”
Section: Introductionmentioning
confidence: 99%