Networked control systems have gained considerable attention over the last decade as a
result of the trend towards decentralised control applications and the emergence of cyber …

The efficient exchange of information is an essential aspect of intelligent collective behavior.
Event-triggered control and estimation achieve some efficiency by replacing continuous data …

This article proposes a joint learning technique for control inputs and triggering intervals of
self‐triggered control nonlinear systems with unknown dynamics. First, deep reinforcement …

This article investigates the design of self-triggered controllers for networked control systems
(NCSs), where the dynamics of the plant are unknown a priori. To deal with the unknown …

When models are inaccurate, the performance of model-based control will degrade. For
linear quadratic control, an event-triggered learning framework is proposed that …

This paper presents an integrated self-triggered control strategy with convergence
guarantees for model-free continuous-time systems using reinforcement learning. To …

Wireless sensor networks are used in a wide range of applications, many of which require
real-time transmission of the measurements. Bandwidth limitations result in limitations on the …

Data-driven control has attracted lots of attention in recent years, especially for plants that
are difficult to model based on first-principle. In particular, a key issue in data-driven …

An important question in data-driven control is how to obtain an informative dataset. In this
work, we consider the problem of effective data acquisition of an unknown linear system with …

This letter addresses to the problem of mobile agent deployment on a line segment. It is
assumed that each agent receives information from some of its right and some of its left …