2019
DOI: 10.1109/jas.2017.7510895
|View full text |Cite
|
Sign up to set email alerts
|

Robust control for uncertain nonlinear feedback system using operator-based right coprime factorization

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
11
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 15 publications
(11 citation statements)
references
References 11 publications
0
11
0
Order By: Relevance
“…From the above analysis, we can see that there is a differential function in operatorbased controller (18). However, by using our isomorphism scheme, it is avoided in (24).…”
Section: Control System Design Based On Operator Theory and Isomorphi...mentioning
confidence: 91%
See 1 more Smart Citation
“…From the above analysis, we can see that there is a differential function in operatorbased controller (18). However, by using our isomorphism scheme, it is avoided in (24).…”
Section: Control System Design Based On Operator Theory and Isomorphi...mentioning
confidence: 91%
“…In [13], Zakai and Kushner-Stratonovich equations of the nonlinear filtering problem for a non-Gaussian signal-observation system are considered. Operator theory is a kind of nonlinear control theory which has the characteristics of nonlinear and uncertain unstable elements [14][15][16][17][18][19][20]. In addition, robust stability analysis can be performed only in a time domain without conversion to a frequency domain.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, another fundamental problem on RRCF is solved by using isomorphism idea 18,19 . Further, the quantitative design scheme is proposed in Reference 20 as well as the robust schemes 21,22 . Combining with the passivity of robust control property, the RRCF for the UNFS is designed in Reference 23, wherein the robustness and the passivity are, respectively, guaranteed.…”
Section: Introductionmentioning
confidence: 99%
“…There are several control methods such as sliding mode control [6] and adaptive control [7,8], but in this paper, the control system is designed based on operator theory as in the previous study. Operator theory [9][10][11][12][13][14][15][16][17] restricts the space of input signals and the output space, so it can be applied not only to linear control systems but also to nonlinear control systems. There are three advantages of using operator theory: first, there is no need to use transfer functions; second, robust stability analysis can be performed even when nonlinear elements are included; and third, it can be extended to multiple input-output systems.…”
Section: Introductionmentioning
confidence: 99%