Event-triggered model predictive control of discrete-time linear systems subject to disturbances

Distributed aperiodic model predictive control for multi‐agent systems

“…The difference betweenJ H i (k + 1) and the optimal cost J H * i (k) is bounded according to (12), and thus we obtain…”

“…The event-triggered control schemes have been proposed recently to expand the lifetime of agents by aperiodically executing control inputs, while guaranteeing desired control performances. Event-triggered and self-triggered control are two main different aperiodic control approaches, see for example [9][10][11][12][13][14] for the event-based case, and [15][16][17] for the self-triggered case. The major difference between event-based and self-triggered control is that the event-based control scheme requires current measurements of states of the plant, whereas in the self-triggered case the next control execution is pre-computed without measuring the states of the system based on the prediction and the dynamics.…”

Event-Triggered Model Predictive Control for Embedded Artificial Pancreas Systems

“…A multitude of event-based strategies have been reported in the literature for various applications. Event-triggering mechanisms include: the difference between the estimated state and the system state exceeding a specified threshold [20]–[22], violation of a Lyapunov function decay rate [23], and migrating between critical regions in linear MPC [24]. …”

On event-triggered and self-triggered control using online optimization

“…From this viewpoint, event-triggered control and selftriggered control have been proposed so far (see e.g., [2], [3], [7], [8], [9], [14], [15], [18], [19], [20], [21], [22], [23]). In event-triggered control, transmissions of the control input and the measured signal is determined depending on measurement information.…”