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ROBUST SAMPLED‐DATA CONTROL SYSTEMS ANALYSIS BY APPROXIMATE Z‐TRANSFORM USING HIGHER‐ORDER INTEGRATORS
Author(s) -
Lin T.C.,
Teng C.C.,
Wang C.H.,
Yu K.H.
Publication year - 1999
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1111/j.1934-6093.1999.tb00020.x
Subject(s) - integrator , transfer function , stability (learning theory) , control theory (sociology) , sampled data systems , mathematics , frequency domain , boundary (topology) , control system , order (exchange) , domain (mathematical analysis) , control (management) , computer science , mathematical analysis , engineering , telecommunications , artificial intelligence , bandwidth (computing) , machine learning , electrical engineering , finance , economics
In this paper, robust sampled‐data control systems are analyzed in the frequency domain. Stability analysis of a sampled‐data control system using higher‐order integrators was proposed by Wang et al. in 1990 [1] and adopted in the approximate Z‐transform by Wang et al. in 1997 [2]. We further apply the approximate Z‐transform to analyze the stability boundary of a sampled‐data control system in which the plant transfer function has bounds prescribed on its parameters.