Abstract—In this work, we propose a framework for supervisory cooperative estimation of multi-agent linear time-invariant (LTI) systems. We introduce a group of sub-observers, each estimating certain states conditioned on certain input, output, and state information given. The cooperation among the subobservers is supervised by a discrete-event system (DES). The supervisor makes decisions on selecting and configuring a set of sub-observers to successfully estimate all the states of the system. Moreover, in cases when certain anomalies take place, the supervisor reconfigures the set of selected sub-observers so that the impact of anomalies on the estimation performance will be confined, minimized, or even totally eliminated. This framework is applicable to any multi-agent system including large-scale industrial processes. In this paper (Part I), our proposed framework for supervisory estimation is developed based on the notion of sub-observers and DES supervisory control. In the co...
Seyyedmohsen Azizi, Mani M. Tousi, Kash Khorasani