Relaxed State and Fault Estimation for Vehicle Lateral Dynamics Represented by T–S Fuzzy Systems

Joint Authors

El Bachtiri, R.
El Youssfi, N.
Zoulagh, T.
El Aiss, H.

Source

Journal of Control Science and Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-09-12

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Electronic engineering
Information Technology and Computer Science

Abstract EN

This paper deals with the problem of observer design of the vehicle model which is represented by Takagi–Sugeno (T–S) fuzzy systems with the presence of uncertainties.

A relaxed observer design is presented to estimate the unmeasurable states and the faults of the vehicle lateral dynamics model, simultaneously.

The vehicle model is transformed into a system with unknown inputs.

Then, it is rebuilt by adding the default to the system state equation.

Based on the Lyapunov function approach and the introduction of some slack variables, sufficient conditions of unknown input observer design are formulated as Linear Matrix Inequalities (LMIs).

Finally, the simulation section clearly shows the importance and effectiveness of the proposed strategy.

American Psychological Association (APA)

El Youssfi, N.& El Bachtiri, R.& Zoulagh, T.& El Aiss, H.. 2020. Relaxed State and Fault Estimation for Vehicle Lateral Dynamics Represented by T–S Fuzzy Systems. Journal of Control Science and Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1182712

Modern Language Association (MLA)

El Youssfi, N.…[et al.]. Relaxed State and Fault Estimation for Vehicle Lateral Dynamics Represented by T–S Fuzzy Systems. Journal of Control Science and Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1182712

American Medical Association (AMA)

El Youssfi, N.& El Bachtiri, R.& Zoulagh, T.& El Aiss, H.. Relaxed State and Fault Estimation for Vehicle Lateral Dynamics Represented by T–S Fuzzy Systems. Journal of Control Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1182712

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1182712