Fuzzy-Model-Based Finite Frequency Fault Detection Filtering Design for Two-Dimensional Nonlinear Systems-Reference-Cited by-同舟云学术

Fuzzy-Model-Based Finite Frequency Fault Detection Filtering Design for Two-Dimensional Nonlinear Systems

Published:2024-10 Issue:10 Volume:11 Page:2099-2110
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Wang Meng¹^ORCID,Yan Huaicheng¹^ORCID,Qiu Jianbin²^ORCID,Ji Wenqiang³^ORCID

Affiliation:

1. School of Information Science and Engineering, East China University of Science and Technology,Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education,Shanghai,China,200237

2. Research Institute of Intelligent Control and Systems, School of Astronautics, Harbin Institute of Technology,Harbin,China,150080

3. School of Artificial Intelligence, Hebei University of Technology,Tianjin,China,300401

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6570654/10664517/10664186.pdf?arnumber=10664186

Reference42 articles.

1. Distributed adaptive fault-tolerant output regulation of heterogeneous multi-agent systems with coupling uncertainties and actuator faults

2. Robust fault detection and isolation based on finite-frequency H- H unknown input observers and zonotopic threshold analysis

3. Adaptive Fault Detection and Isolation for Active Suspension Systems With Model Uncertainties

4. Gain-Scheduling Fault Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems: A Depth Partitioning Approach

5. Distributed Fault-Tolerant Containment Control for Nonlinear Multi-Agent Systems Under Directed Network Topology via Hierarchical Approach