Optimal Control and Simulation for Enterprise Financial Risk in Industry Environment

Joint Authors

Liang, Yan-Jun
Zhang, Wei-hua
Lu, Youjun
Wang, Zhong-Sheng

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-09-04

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Civil Engineering

Abstract EN

A technique for enterprise financial risk optimal control with exponential decay rate and simulation is developed in industry environment.

The factors of industry environment risks to enterprise financial activities are considered, based on the evaluation method taking into both subjectivity and objectivity, seven kinds of industry environment risks influencing enterprise financial activities are chosen as state variables, and the enterprise financial risk dynamical system model is established for the first time.

In order to reduce the risk of enterprise financial activity subjected to industry environment, an average performance index with exponential decay rate is chosen for the systems.

Using the optimal control approach, an optimal vibration controller with exponential decay rate is designed.

Numerical simulation results illustrate the effectiveness of the proposed technique.

American Psychological Association (APA)

Liang, Yan-Jun& Zhang, Wei-hua& Lu, Youjun& Wang, Zhong-Sheng. 2020. Optimal Control and Simulation for Enterprise Financial Risk in Industry Environment. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1196463

Modern Language Association (MLA)

Liang, Yan-Jun…[et al.]. Optimal Control and Simulation for Enterprise Financial Risk in Industry Environment. Mathematical Problems in Engineering No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1196463

American Medical Association (AMA)

Liang, Yan-Jun& Zhang, Wei-hua& Lu, Youjun& Wang, Zhong-Sheng. Optimal Control and Simulation for Enterprise Financial Risk in Industry Environment. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1196463

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1196463