Sensor fault estimation for Lipschitz nonlinear systems in finite-frequency domain
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Sensor fault estimation for Lipschitz nonlinear systems in finite-frequency domain
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume 48, Issue 12, Pages 2622-2632
Publisher
Informa UK Limited
Online
2017-06-01
DOI
10.1080/00207721.2017.1334099
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Real-time fault diagnosis and fault-tolerant control
- (2015) Zhiwei Gao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Integrated design of fault reconstruction and fault-tolerant control against actuator faults using learning observers
- (2015) Qingxian Jia et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Analysis and Design of Robust $H_\infty $ Fault Estimation Observer With Finite-Frequency Specifications for Discrete-Time Fuzzy Systems
- (2015) Ke Zhang et al. IEEE Transactions on Cybernetics
- Fault Tolerant Controller Design for T–S Fuzzy Systems With Time-Varying Delay and Actuator Faults: A K-Step Fault-Estimation Approach
- (2014) Sheng-Juan Huang et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Simultaneous robust actuator and sensor fault estimation for uncertain non-linear Lipschitz systems
- (2014) Jian Zhang et al. IET Control Theory and Applications
- Sensor fault estimation and accommodation for discrete-time switched linear systems
- (2014) Dongsheng Du et al. IET Control Theory and Applications
- Simultaneous time-varying actuator and sensor fault reconstruction based on PI observer for LPV systems
- (2014) Xiaohang Li et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Robust fault reconstruction for linear parameter varying systems using sliding mode observers
- (2013) Halim Alwi et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Robust observer-based fault estimation and accommodation of discrete-time piecewise linear systems
- (2013) Seyed Mojtaba Tabatabaeipour et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Fault Detection in Finite Frequency Domain for Takagi-Sugeno Fuzzy Systems With Sensor Faults
- (2013) Xiao-Jian Li et al. IEEE Transactions on Cybernetics
- On LMI conditions to design observers for Lipschitz nonlinear systems
- (2012) Ali Zemouche et al. AUTOMATICA
- State and Parameter Estimation for Nonlinear Delay Systems Using Sliding Mode Techniques
- (2012) Xing-Gang Yan et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Fault Estimation and Tolerant Control for Fuzzy Stochastic Systems
- (2012) Ming Liu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Residual generation for fault detection and isolation in a class of uncertain nonlinear systems
- (2012) Hong-Jun Ma et al. INTERNATIONAL JOURNAL OF CONTROL
- A discrete-time parameter estimation based adaptive actuator failure compensation control scheme
- (2012) Chang Tan et al. INTERNATIONAL JOURNAL OF CONTROL
- H∞ observers design for a class of nonlinear singular systems
- (2011) Mohamed Darouach et al. AUTOMATICA
- Fault Detection for T–S Fuzzy Discrete Systems in Finite-Frequency Domain
- (2011) Hongjiu Yang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- An adaptive high-gain observer for nonlinear systems
- (2010) Nicolas Boizot et al. AUTOMATICA
- Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation
- (2010) Xiaodong Zhang et al. AUTOMATICA
- Fuzzy Filter Design for Nonlinear Systems in Finite-Frequency Domain
- (2010) Da-Wei Ding et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A finite frequency domain approach to fault detection for linear discrete-time systems
- (2008) H. Wang et al. INTERNATIONAL JOURNAL OF CONTROL
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now