This paper provides an overview and makes a deep investigation on sampled-data-based
event-triggered control and filtering for networked systems. Compared with some existing …

Hydraulic servo actuators (HSAs) are often used in the industry in tasks that request great
power, high accuracy and dynamic motion. It is well known that an HSA is a highly complex …

Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …

This paper is concerned with the adaptive event-triggered control problem of nonlinear
continuous-time systems in strict-feedback form. By using the event-sampled neural network …

This paper is mainly concerned with the synchronization problem of reaction-diffusion neural
networks (RDNNs) with delays and its direct application in image secure communications …

This paper presents a model-based adaptive event-triggered control scheme for a class of
uncertain single-input and single-output nonlinear continuous-time systems. To this aim, the …

In this paper, the H∞ optimal control problem for a class of continuous-time nonlinear
systems is investigated using event-triggered method. First, the H∞ optimal control problem …

This paper investigates the event-triggered adaptive output feedback control problem for a
class of uncertain nonlinear systems in the presence of actuator failures and unknown …

This paper considers a class of nonlinear large-scale interconnected systems and proposes
an event-triggered decentralized controller by using adaptive output feedback backstep** …

In recent years, theoretical and practical research on event-based communication strategies
has gained considerable research attention due primarily to their irreplaceable superiority in …