Treffer: Reliable observer-based H∞ control for discrete-time fuzzy systems with time-varying delays and stochastic actuator faults via scaled small gain theorem

Title:
Reliable observer-based H∞ control for discrete-time fuzzy systems with time-varying delays and stochastic actuator faults via scaled small gain theorem
Source:
Neurocomputing (Amsterdam). 147:251-259
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 36 ref
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Théorie programmation, Programming theory, Automatique théorique. Systèmes, Control theory. Systems, Systèmes adaptatifs, Adaptative systems, Modélisation et identification, Modelling and identification, Analyse des systèmes de commande, Control system analysis, Actionneur, Actuator, Accionador, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Architecture basée modèle, Model driven architecture, Arquitectura basada modelo, Boucle fermée, Closed loop, Bucle cerrado, Chaîne Markov, Markov chain, Cadena Markov, Commande H infini, H infinite control, Control H infinito, Commande boucle fermée, Closed feedback, Bucle realimentación cerrada, Commande floue, Fuzzy control, Control difusa, Commande robuste, Robust control, Control robusta, Entrée sortie, Input output, Entrada salida, Identification système, System identification, Identificación sistema, Inégalité matricielle linéaire, Linear matrix inequality, Desigualdad matricial lineal, Logique floue, Fuzzy logic, Lógica difusa, Méthode domaine temps fréquence, Time frequency domain method, Método dominio tiempo frecuencia, Observateur, Observer, Observador, Optimisation H infini, H infinite optimization, Optimización H infinito, Retard variable, Variable delay, Retardo variable, Résolubilité, Solvability, Resolubilidad, Système paramètre variable, Time varying system, Sistema parámetro variable, Système à retard, Delay system, Sistema con retardo, Temps discret, Discrete time, Tiempo discreto, Théorème faible gain, Small gain theorem, Teorema bajo ganancia, Transformation Laplace, Laplace transformation, Transformación Laplace, Discrete-time fuzzy systems, Input-output method, Reliable H∞ control, Time-varying delays
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
College of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130012, China
The Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
ISSN:
0925-2312
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.28836748
Database:
PASCAL Archive

Weitere Informationen

This paper is concerned with the reliable observer-based H∞ control problem for discrete-time Takagi-Sugeno (T―S) fuzzy systems with time-varying delay and stochastic actuator faults based on input-output approach. A discrete-time homogeneous Markov chain is used to represent the stochastic behavior of actuator faults. First, the discrete-time T―S fuzzy system is transformed into the form of interconnection of two subsystems by employing a new model transformation for the delayed state variables. Furthermore, a sufficient condition on discrete-time T-S fuzzy systems with time-varying delay and actuator faults, which guarantees the corresponding closed-loop system to be stochastically stable and preserves a guaranteed H∞ performance, is derived by employing the scaled small gain theorem. Meanwhile, the solvability condition for the reliable observer-based H∞ control is also established, by which the reliable H∞ fuzzy controller can be solved as linear matrix inequalities (LMIs). Finally, a numerical example is provided to demonstrate the effectiveness of the proposed approach.