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Titolo:
Language identification of controlled systems: Modeling, control, and anomaly detection
Autore:
Martins, JF; Dente, JA; Pires, AJ; Mendes, RV;
Indirizzi:
Inst Super Tecn, Lab Mecatron, Lisbon, Portugal Inst Super Tecn Lisbon Portugal er Tecn, Lab Mecatron, Lisbon, Portugal Escola Super Tecnol Setubal, Setubal, Portugal Escola Super Tecnol Setubal Setubal Portugal Setubal, Setubal, Portugal
Titolo Testata:
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
fascicolo: 2, volume: 31, anno: 2001,
pagine: 234 - 242
SICI:
1094-6977(200105)31:2<234:LIOCSM>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
GRAMMATICAL COMPLEXITY; FORMAL LANGUAGES; INFERENCE;
Keywords:
control systems; fault diagnosis; formal languages; grammatical inference mechanisms; grammatical interpolation; induction motor drives;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
25
Recensione:
Indirizzi per estratti:
Indirizzo: Martins, JF Inst Super Tecn, Lab Mecatron, Lisbon, Portugal Inst Super Tecn Lisbon Portugal Mecatron, Lisbon, Portugal
Citazione:
J.F. Martins et al., "Language identification of controlled systems: Modeling, control, and anomaly detection", IEEE SYST C, 31(2), 2001, pp. 234-242

Abstract

Formal language techniques have been used in the past to study autonomous dynamical systems. However, for controlled systems, new features are neededto distinguish between information generated by the system and input control. We show how the modeling framework for controlled dynamical systems leads naturally to a formulation in terms of context-dependent grammars. A learning algorithm is proposed for on-line generation of the grammar productions, this formulation being then used for modeling, control, and anomaly detection. Practical applications are described for electromechanical drives. Grammatical interpolation techniques yield accurate results, and the pattern detection capabilities of the language-based formulation makes it a promising technique for the early detection of anomalies or faulty behavior.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/01/20 alle ore 06:36:15