The work proposes static and dynamic input-based event-triggered controllers for a network resource-constrained environment. The controller is designed for a discrete-time system using a low-gain approach, where feedback gain is designed as a function of a user-defined parameter. Depending on the event density, the low-gain parameter can be adjusted to increase the inter-event time between two consecutive events at a particular instant. Thus the demand for computational and network resources can be reduced

A network-based event-triggered control is proposed for the continuous linear system. The primary feature of the proposed event-triggered control is to broadcast the current measurements when a pre-defined condition on input error is satisfied, which can avoid the redundant control updates from the controller to the actuator. Secondly, it provides an augmented system performance by appropriate selection of design parameters. Moreover, a dynamic threshold is introduced in the triggered condition to further improve the trade-off between resource utilization and system performance.

This work proposes a new input-based event-triggered control for a discrete-time singularly perturbed system, where latest measurements are transmitted when a pre-defined condition is satisfied on input. The other significant contribution of the proposed work is a separation of control updates for slow and fast dynamics.