2020
DOI: 10.1049/iet-cta.2018.6159
|View full text |Cite
|
Sign up to set email alerts
|

Boundary dynamic feedback control for a class of semi‐linear distributed parameter systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(8 citation statements)
references
References 44 publications
0
8
0
Order By: Relevance
“…By the Definition 2.1, we can conclude that system (1)-( 3) with the boundary controller ( 9) is M-L stable if the control gain k 1 satisfies the LMI Ξ 1 < 0, namely, the closed-loop system (10)-( 12) is M-L stable. This proves that the controller ( 9) is effective for realizing system (1)-( 3 With the help of the description of domain-averaged measurement in Zhou and Cui [35], there may be one or more sensors to obtain the effective information of their respective measurements, and then, the domain-averaged measurement information is obtained by summarizing and averaging this information. In this paper, the boundary controller is designed based on this domain information.…”
Section: Boundary Control Design Based On Domain Average Measurementmentioning
confidence: 87%
“…By the Definition 2.1, we can conclude that system (1)-( 3) with the boundary controller ( 9) is M-L stable if the control gain k 1 satisfies the LMI Ξ 1 < 0, namely, the closed-loop system (10)-( 12) is M-L stable. This proves that the controller ( 9) is effective for realizing system (1)-( 3 With the help of the description of domain-averaged measurement in Zhou and Cui [35], there may be one or more sensors to obtain the effective information of their respective measurements, and then, the domain-averaged measurement information is obtained by summarizing and averaging this information. In this paper, the boundary controller is designed based on this domain information.…”
Section: Boundary Control Design Based On Domain Average Measurementmentioning
confidence: 87%
“…Combining with the bump-like function (28), we can get that ‖w(s, t )‖ L 2 → 0 as t → T . In virtue of Definition 1, the target system (7)-( 9) is fixed-time stable.…”
Section: Proof Consider a Lyapunov Functionmentioning
confidence: 96%
“…In addition, the economical and technical constraints, the sensor and actuator at the interior of spatial domain is not realisable in some applications such as viscous fluid, high temperature and chemical reactor. Therefore, the boundary control of parabolic distributed parameter systems has received an increased attention due to the more realistic problem in many applications [22][23][24][25][26][27][28]. It is worth noting that the backstepping technique has been become one of the popular research methods to the boundary feedback control of the parabolic distributed parameter systems [29][30][31][32][33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…The study of system stability has always been one of the most basic and important problems in distributed parameter systems. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] At present, several control methods have been proposed for various distributed parameter systems, such as robust control, 5 adaptive control, 6,7 sliding mode control, 8 pulse control, 9 boundary control, [11][12][13] and parallel control. 14 With the development of artificial intelligence, intermittent control 10,[19][20][21][22] has attracted more attention.…”
Section: Introductionmentioning
confidence: 99%
“…The study of system stability has always been one of the most basic and important problems in distributed parameter systems 1–18 . At present, several control methods have been proposed for various distributed parameter systems, such as robust control, 5 adaptive control, 6,7 sliding mode control, 8 pulse control, 9 boundary control, 11–13 and parallel control 14 .…”
Section: Introductionmentioning
confidence: 99%