A receding-horizon approach to state estimation of the battery assembly system

Abstract

The paper addresses the issue of the state estimation problem of a class of discrete-event systems. The receding-horizon approach is employed to solve above problem. The system and its variables are described within the (max,+) algebra. Thus making possible to incorporate robustness within the overall framework. The paper also shows the transformation of the interval cost function into the scalar one, and hence, making the computational procedure trackable within the quadratic programming framework. Resulting in interval estimates of the system state, which can be used for both fault diagnosis and control purposes.