Event-Triggered Predictive Control for Networked Systems Based on a Dual-Rate Sampling Switched Observer

Design of Observer-based H∞ Controller for Robust Stabilization of Networked Systems Using Switched Lyapunov Functions

In this paper, H∞ controller is synthesized for networked systems subject to random transmission delays with known upper bound and different occurrence probabilities in the both of feedback (sensor to controller) and forward (controller to actuator) channels. A remote observer is employed to improve the performance of the system by computing non-delayed estimates of the sates. The closed-loop s...

Event-Triggered Networked Control Systems

Many of the results for event-triggered control of embedded systems can be extended to networked control systems. A networked control system or NCS is a set of controllers that coordinate their actions over a communication network. For NCS, event-triggering is used to decide when to transmit or broadcast the system state to a local controller’s neighbors. Using events to trigger communication a...

Suboptimal event-triggered control for networked control systems

The advent of networked control systems urges the digital control design to incorporate communication constraints efficiently. In order to accommodate this requirement, this article studies the joint design of controller and event-trigger for linear stochastic systems in the presence of a resource-limited communication channel which exhibits packet dropouts and time-delay. The event-trigger sit...

Event-triggered intermittent sampling for nonlinear model predictive control

In this paper, we propose a new aperiodic formulation of model predictive control for nonlinear continuous-time systems. Unlike earlier approaches, we provide event-triggered conditions without using the optimal cost as a Lyapunov function candidate. Instead, we evaluate the time interval when the optimal state trajectory enters a local set around the origin. The obtained event-triggered strate...

Event-triggered networked predictive control of system with data loss