| This thesis proposes a new method to construct a distributed diagnoser having a coordinated decentralized architecture that consists of local sites communicating with a central unit. This diagnoser is shown to be equivalent, in diagnosability, to the centralized diagnoser of Hashtrudi Zad. The key feature of the proposed distributed diagnoser is that it achieves the same diagnostic performance as the centralized diagnoser, without making any further assumptions. Another important feature of this diagnoser is that it provides the freedom to start the diagnoser at any time during the operation of the system and not necessarily when the system is started. A test case—a practical problem—involving the design of the distributed diagnoser for a nonlinear continuous-time system is also discussed in the thesis. |
