Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors

Joint Authors

Tang, Ning
Li, Qingyu
Wen, Shiping
Ren, Zemin
Feng, Yuming

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-21

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Biology

Abstract EN

Considering the limitation of machine and technology, we study the stability for nonlinear impulsive control system with some uncertainty factors, such as the bounded gain error and the parameter uncertainty.

A new sufficient condition for this system is established based on the generalized Cauchy–Schwarz inequality in this paper.

Compared with some existing results, the proposed method is more practically applicable.

The effectiveness of the proposed method is shown by a numerical example.

American Psychological Association (APA)

Ren, Zemin& Wen, Shiping& Li, Qingyu& Feng, Yuming& Tang, Ning. 2020. Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138853

Modern Language Association (MLA)

Ren, Zemin…[et al.]. Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138853

American Medical Association (AMA)

Ren, Zemin& Wen, Shiping& Li, Qingyu& Feng, Yuming& Tang, Ning. Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138853

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1138853