Robust dynamic output feedback fault-tolerant control for Takagi-Sugeno fuzzy systems with interval time-varying delay via improved delay partitioning approach

• Autorzy: Chao Sun , Fuli Wang , Xiqin He
• Języki publikacji: EN

Abstrakty

EN

This paper addresses the problem of robust fault-tolerant control design scheme for a class of Takagi-Sugeno fuzzy systems subject to interval time-varying delay and external disturbances. First, by using improved delay partitioning approach, a novel n-steps iterative learning fault estimation observer under H ∞ constraint is constructed to achieve estimation of actuator fault. Then, based on the online estimation information, a fuzzy dynamic output feedback fault-tolerant controller considered interval time delay is designed to compensate for the impact of actuator faults, while guaranteing that the closed-loop system is asymptotically stable with the prescribed H ∞ performance. Moreover, all the obtained less conservative sufficient conditions for the existence of fault estimation observer and fault-tolerant controller are formulated in terms of linear matrix inequalities. Finally, the numerical examples and simulation results are presented to show the effectiveness and merits of the proposed methods.

Słowa kluczowe

EN

Fault estimation; T-S fuzzy models; Fault-tolerant control; Actuator fault compensation; Disturbance rejection; Asymptotically stable; Time-varying delay; Linear matrix inequalities

Kategorie tematyczne

• 34D23: Global stability
• 93D09: Robust stability
• 37B25: Lyapunov functions and stability; attractors, repellers

• Wydawca: De Gruyter Open
• Czasopismo: Open Mathematics
• Rocznik: 2016
• Tom: 14
• Numer: 1
• Strony: 986-1006

Daty

wydano

2016-01-01

otrzymano

2016-05-03

zaakceptowano

2016-10-31

online

2016-12-12

Twórcy

autor

Chao Sun

• College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110819, China and School of Science, University of Science and Technology Liaoning, Anshan, 114051,

autor

Fuli Wang

• College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110819, China and State Key Laboratory of Synthetical Automation of Process Industries, Northeastern University, Shenyang, Liaoning, 110819,

autor

Xiqin He

• School of Science, University of Science and Technology Liaoning, Anshan, 114051,

Identyfikatory

DOI

10.1515/math-2016-0089