부산대학교 도서관

This paper proposes a novel full-order and reduced-order fault detection filters (FDFs) design method for singular continuous-time Markovian jump systems (SCTMJSs) with completely known transition rates (TRs). In order to strengthen the reliability of full-order and reduced-order (FDFs), we incorporates the idea of congruent transformation Lyapunov matrix to solve the convex optimization problem. The superiority of this kind of design method is that shows full-order and reduced-order FDFs can be expressed by an inequality and effective. Particularly necessary to point out that the reduced-order fault detection filter (FDF) has fewer variables and shortens the time of fault detection (FD) compared with full-order FDF. At the end of this paper, an illustrative simulation example is given to verify the effectiveness of the proposed method.