Adaptive sharing of sampling rates among software based controllers

Recent control theoretic studies have shown that the sharing of electronic control unit (ECU) bandwidth among multiple controllers can be adaptively regulated to achieve better control performance as opposed to static bandwidth allocation to each controller. Unfortunately the ideal controllers cannot always be implemented, since the computational platform does not admit unrestricted choice of sampling periods for the controllers. Therefore the controllers for each combination of the sampling rates must be pre-synthesized. This paper develops an algorithmic basis for identifying the optimal feasible combination of sampling rates at various modes of a system consisting of multiple controllers. The proposed approach is shown to yield controllers that are feasible and having comparable benefits as compared to the ideal controllers.