Background Brain disorders are gradually becoming the leading cause of death worldwide.
However, the lack of knowledge of brain disease's underlying mechanisms and ineffective …

In this article, a hybrid event-triggered control protocol is proposed to solve the consensus
problem for a class of multiple uncertain Euler–Lagrange systems with limited …

This paper develops a novel event-triggered optimal control approach based on state
observer and neural network (NN) for nonlinear continuous-time systems. Firstly, the authors …

This article investigates the flocking control problem of double‐integrator multi‐agent
systems with a virtual leader subject to unknown external disturbances. A robust integral of …

This paper aims to establish a sampled-data framework to solve the consensus problem for
multiple heterogeneous Euler-Lagrange systems (MHELSs). The systems under …

This article is related to the coordinated formation control of multiple unmanned aerial
vehicles (UAVs) with con-fined communication resources under a path-following context. To …

This work proposes a novel dynamic event-triggered approximate optimal control strategy
for nonlinear continuous-time systems. By employing the dynamic event-triggered control …

This paper studies the distributed optimal coordinated control problem for Euler–Lagrange
multi-agent systems with connectivity preservation. The aim is to force agents to achieve the …

This work proposes the framework of dual dynamic triggers to deal with the communication
problem of remote control under the event‐triggered scheme for network control systems …

This work studies the event-triggered control problem for networked control systems. The
plant is controlled directly by a dynamic local controller, which receives the reference control …