Data dropout compensation for networked control systems under a new parallel-triggering approach

The logical AND/OR combination of two trigger conditions leads to a class of event triggering approach called parallel-triggering that is not sufficiently considered in conception and application. This paper first proposes the relative-absolute parallel-triggering for both the continuous-time and the discrete-time paradigms. In the continuous-time paradigm, a weighted switching parallel-triggering (SPT) is studied that outperforms the existing discrete-time periodic parallel-triggering (PPT) approach. The next point of this paper is the issue of considering the data dropout effect. In this regard, the maximum number of sequential data dropouts is estimated for both parallel-triggering paradigms. The weighted matrix of the trigger condition, as a degree of freedom, can be beneficial for the feasibility of linear matrix inequality (LMI) in the stability analysis. A square root transformation is applied to change the coordinate and analyze the weighted trigger condition. Finally, by using some numerical simulation, our results are evaluated. (c) 2022TheFranklinInstitute. PublishedbyElsevierLtd. Allrightsreserved.