Generalized n-Dimensional k-Order Systems: Computing the Transfer Function

This paper presents an observer based sensor fault diagnosis for 2-D systems. Firstly, a state observer is designed by taking into account the measurements in a fixed length sliding window. Secondly, structured residual signals are generated by a bench of finite memory state observers which allow to detect and isolate sensor faults affecting the system. Finally, simulation results are given to illustrate the proposed approach.

show abstract

State Estimation and Fault Detection for 2-D Discrete-Time Systems

Ichalal

Marx

Ragot

2018

2018 26th Mediterranean Conference on Control and Automation (MED)

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Generalized n-Dimensional k-Order Systems: Computing the Transfer Function

Cited by 1 publication

References 9 publications

State Estimation and Fault Detection for 2-D Discrete-Time Systems

State Estimation and Fault Detection for 2-D Discrete-Time Systems

Contact Info

Product

Resources

About