IE for Lipschitzian Nonlinear Systems

Jun-Wei Zhu (), Xin Wang () and Guang-Hong Yang ()
Additional contact information
Jun-Wei Zhu: Zhejiang University of Technology, Institute of Cyberspace Security
Xin Wang: Heilongjiang University
Guang-Hong Yang: Northeastern University, College of Information Science and Engineering

Chapter Chapter 2 in Fault Estimation for Network Systems via Intermediate Estimator, 2022, pp 11-25 from Springer

Abstract: Abstract In recent years, fault detection and isolation techniques have been extensively studied due to the increasing demands on safety, reliability, and maintainability of practical systems. However, accurate fault information, such as fault shape and size, is difficult to be obtained through fault detection and isolation techniques.

Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-6321-6_2

Ordering information: This item can be ordered from
http://www.springer.com/9789811963216

DOI: 10.1007/978-981-19-6321-6_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().