Improvements on Robust Stability of Sampled-Data System with Long Time Delay | Zendy

Shigang Wang | Zendy; Yongli Bi | Zendy; Yingsong Li | Zendy

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Improvements on Robust Stability of Sampled-Data System with Long Time Delay

Author(s) -

Shigang Wang,

Yongli Bi,

Yingsong Li

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/580768

Subject(s) - weighting , stability (learning theory) , mathematics , control theory (sociology) , mathematical optimization , linear matrix inequality , matrix (chemical analysis) , computer science , algorithm , artificial intelligence , machine learning , medicine , materials science , control (management) , composite material , radiology

This paper mainly studies the problem of the robust stability analysis for sampled-data system with long time delay. By constructing an improved Lyapunov-Krasovskii functional and employing some free weighting matrices, some new robust stability criteria can be established in terms of linear matrix inequalities. Furthermore, the proposed equivalent criterion eliminates the effect of free weighing matrices such that numbers of decision variables and computational burden are less than some existing results. A numerical example is also presented and compared with previously proposed algorithm to illustrate the feasibility and effectiveness of the developed results

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