Input-Based Adaptive Event-Triggered Control Under a Network Resource-Constrained Environment

The work proposes an input-based event-triggered mechanism with parameterized low-gain feedback for a discrete-time system under a network resource-constrained environment. The control input depends on a parameter ${ϵ}_q$, which can be adaptively scheduled according to the network conditions. The control input is designed using the seminal concept of low-gain feedback. Further, we establish an explicit relation between inter-event time and the control parameter. Stability with the proposed triggering rule is established, and the proposed theory is verified using an active suspension system.