Abstract
In this chapter, we are devoted to solving Hα fault estimation problems for linear discrete time-varying (LDTV) systems with random uncertainties. A fault detection filter is derived as residual generator by using the Hα performance index, for a class of LDTV systems subject to multiplicative noise and l2-norm bounded unknown disturbance (Section 3.2) and multistep data packet dropouts (Section 3.3), respectively. Through defining a couple of equivalent dynamic systems and the Hα performance index, the fixed-lag fault estimator has been designed by using the projection formula in Krein space based on the reorganized innovation approach for LDTV systems with intermittent observations in Section 3.4. The parameter matrices of the designed estimator are calculated by solving corresponding standard Riccati equations. Numerical examples are given to illustrate the effectiveness of the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
