Partitioning Technique for Relaxed Stability Criteria of Discrete-Time Systems with Interval Time-Varying Delay
Author(s) -
KuangYow Lian,
Wen-Tsung Yang,
Peter Liu
Publication year - 2014
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2014/297324
Subject(s) - interval (graph theory) , stability (learning theory) , discrete time and continuous time , partition (number theory) , benchmark (surveying) , flexibility (engineering) , range (aeronautics) , upper and lower bounds , computer science , mathematics , lyapunov function , control theory (sociology) , function (biology) , mathematical optimization , nonlinear system , statistics , control (management) , geodesy , artificial intelligence , composite material , quantum mechanics , machine learning , geography , biology , materials science , physics , mathematical analysis , evolutionary biology , combinatorics
We demonstrate an improved stability analysis based on a partition oriented technique for discrete-time systems with interval time-varying delay. The partition oriented technique introduces beneficial terms contributing to the negative definiteness of the Lyapunov function difference, meanwhile completely avoiding traditional inequality based approaches. In contrast, nonpartitioning oriented techniques do not put emphasis on further dividing the interval of the summation in the Lyapunov function. Herein, we demonstrate that the advantages of exploiting partitioning techniques manifest the relaxed stability criteria, as well as the flexibility to tune tradeoff between allowable timedelay range performance and computational load. Simulation carried out on a benchmark discrete-time system reveals the significant improvement in terms of maximum allowable upper bound in comparison
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