2020
DOI: 10.1109/access.2020.3020124
|View full text |Cite
|
Sign up to set email alerts
|

Output Tracking of Boolean Control Networks With Impulsive Effects

Abstract: In this article, the output tracking of Boolean control networks with impulsive effects (BCNs-IE) is discussed. Based on structure matrices of BCNs-IE and controllability matrices with respect to state subsets, stable complex attractors are studied. By constructing an auxiliary BCN-IE and using stable complex attractors, a necessary and sufficient condition for the output tracking problem is proposed. In addition, an algorithm to design state feedback controllers for the output tracking problem is provided. Mo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 44 publications
0
2
0
Order By: Relevance
“…Here, the matrix product refers to the Kronecker product. anks to the left MM STP, a Boolean network can be converted into a linear discrete-time form, which stimulates the development of Boolean networks [2][3][4]. In addition, the left MM STP also plays an important role in finite game [5][6][7], fuzzy systems [8,9], and graph theory [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…Here, the matrix product refers to the Kronecker product. anks to the left MM STP, a Boolean network can be converted into a linear discrete-time form, which stimulates the development of Boolean networks [2][3][4]. In addition, the left MM STP also plays an important role in finite game [5][6][7], fuzzy systems [8,9], and graph theory [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…Under the framework of Cheng product, the logical forms of BNs (BCNs) can be converted into linear (bilinear) discrete-time dynamic algebraic forms. Based on these, various remarkable issues of BNs and BCNs have been studied, to mention just a few, controllability [21,19], observability [14] [23], [36], stability and stabilization [8], [16], [44], synchronization [28], [2], disturbance decoupling [45], [35], output tracking [41], [20] and optimal control [38], [32], etc. In addition, Cheng product can also be applied to game theory [39], finite automata [43], nonlinear shift registers [26] and so on.…”
mentioning
confidence: 99%