ABSTRACT
In self-triggered approaches, the current sample is used to determine the next sampling instant, that is, to predict the occurrence of the triggering event. In comparison with event-triggering, where sensor readings are constantly obtained and analyzed in order to detect events, self-triggering decreases requirements posed on sensors and processors in embedded systems. This chapter aims to relax the periodicity using the self-triggered transmission paradigm. The maximally allowable transfer intervals are designed for the worst-case scenario and preclude potential prolongation of transmission intervals utilizing the information arriving from the plant. The chapter presents the utilized notation and definitions. It analyses the problem of input-output triggered intermittent feedback under various assumptions. It shows that the methodology brought together to solve the problem of interest. The chapter suggests that proposed input-output triggered sampling policy is verified on a trajectory tracking problem. It provides a methodology for input-output triggered control of non-linear systems.
