Improved Robust H∞ Filtering Approach for Nonlinear Systems

المؤلفون المشاركون

Chen, Jun
Sun, Haiqiao

المصدر

Abstract and Applied Analysis

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-04-27

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

الرياضيات

الملخص EN

An improved design approach of robust H∞ filter for a class of nonlinear systems described by the Takagi-Sugeno (T-S) fuzzy model is considered.

By introducing a free matrix variable, a new sufficient condition for the existence of robust H∞ filter is derived.

This condition guarantees that the filtering error system is robustly asymptotically stable and a prescribed H∞ performance is satisfied for all admissible uncertainties.

Particularly, the solution of filter parameters which are independent of the Lyapunov matrix can be transformed into a feasibility problem in terms of linear matrix inequalities (LMIs).

Finally, a numerical example illustrates that the proposed filter design procedure is effective.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Chen, Jun& Sun, Haiqiao. 2014. Improved Robust H∞ Filtering Approach for Nonlinear Systems. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1014337

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Chen, Jun& Sun, Haiqiao. Improved Robust H∞ Filtering Approach for Nonlinear Systems. Abstract and Applied Analysis No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1014337

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Chen, Jun& Sun, Haiqiao. Improved Robust H∞ Filtering Approach for Nonlinear Systems. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1014337

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1014337