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Titolo:
NEW SUFFICIENT CONDITION OF NONEXPANSIVE TIME-DELAY TIME-VARYING SYSTEMS AND ITS APPLICATION TO LEARNING CONTROL
Autore:
YASHIKI S; MATSUMOTO N; TAKAHASHI T; ENDO T;
Indirizzi:
MEIJI UNIV,SCH SCI & TECHNOL KAWASAKI KANAGAWA 214 JAPAN FUKUOKA INST TECHNOL,FAC ENGN FUKUOKA 81102 JAPAN
Titolo Testata:
Electronics and communications in Japan. Part 3, Fundamental electronic science
fascicolo: 8, volume: 79, anno: 1996,
pagine: 74 - 85
SICI:
1042-0967(1996)79:8<74:NSCONT>2.0.ZU;2-7
Fonte:
ISI
Lingua:
ENG
Keywords:
TIME-DELAY TIME-VARYING SYSTEM; LEARNING CONTROL; BOUNDED REAL; NONEXPANSIVE; STABILITY OF LEARNING CONTROL SYSTEM;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
7
Recensione:
Indirizzi per estratti:
Citazione:
S. Yashiki et al., "NEW SUFFICIENT CONDITION OF NONEXPANSIVE TIME-DELAY TIME-VARYING SYSTEMS AND ITS APPLICATION TO LEARNING CONTROL", Electronics and communications in Japan. Part 3, Fundamental electronic science, 79(8), 1996, pp. 74-85

Abstract

Recently, sufficient conditions for a time-delay time-varying (TDTV) system have been shown to be nonexpansive or bounded real (BR). Using this result, the sufficient conditions for stability of learning control for the TDTV system have been derived [2]. The characteristic of these sufficient conditions is independent of delay. This paper considers the relation between these obtained conditions and the similarity transformation of a TDTV system, and derives new sufficient conditions of the nonexpansive TDTV system which are invariant under block similarity transformation. New stability conditions also are derived for the learning control of the TDTV system. The new sufficient conditions include the parameter of delay length explicitly, and ensure that when the given TDTV system satisfies the new conditions, every TDTV system which is similar to the given systems is nonexpansive. It also is shown that under a certain condition, the new sufficient conditions guarantee the nonexpansivity of TDTV system even when the value of the time-delay length of a real TDTV system deviates from the values in the sufficient condition. Finally, numerical examples ale given to show that the obtained stability conditions of learning control are valid.

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Documento generato il 21/09/20 alle ore 16:12:46