A novel robust fault estimation observer design for semi‐Markovian jump systems with partially bounded transition rate. (17th March 2022)

• Record Type: Journal Article
• Authors: Li, Xiaohang; Zhang, Weidong; Lu, Dunke; Yang, Guangping
• Is Part Of: International journal of robust and nonlinear control. Volume 32:Number 9(2022)
• Page Start: 5398
• Page End: 5419
• Publication Date: 2022-03-17
• Subjects: fault estimation -- observer design -- partially bounded transition rate -- semi‐Markovian jump system; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.6094
• Languages: English
• ISSNs: 1049-8923

Abstract

Abstract: This article addresses the simultaneous fault estimation for a class of semi‐Markovian jump system with partially bounded known transition rates. A new variable is introduced with a dependence on output information, and then two robust variable‐based observers are designed to gauge the actuator fault and sensor fault concurrently. Significantly, the problem for partially bounded known transition rates is solved by virtue of mathematic techniques. In this way, the existing conditions of the designed observers are given in terms of linear matrix inequality. Furthermore, two examples are implemented to demonstrate the feasibility and effectiveness of the scheme.