Nonlinear dynamics is frequently encountered in practical applications. Adaptive dynamic
programming (ADP), which is implemented via actor/critic neural networks with excellent …

This study is focused on addressing the dynamic event-triggered distributed state and
unknown parameter estimation problem for discrete-time nonlinear systems that have known …

In bearing fault diagnosis, the faulty data are generally limited due to the high cost of fault
signal collection. Considering the excessive parameters in the traditional convolutional …

This paper designs a novel nonsingular terminal sliding mode control (TSMC) scheme for a
class of nonlinear systems under binary encoding transmission. To further ease the …

This paper focuses on the distributed filtering and fault estimation problems for a class of
complex networks, where the communications between filters at different nodes are subject …

In this paper, a class of discrete-time delayed switched neural networks with dynamic event-
triggered mechanism (DETM) and constrained bit rate is considered. In order to reduce the …

This paper deals with the neural-network (NN)-based output feedback control problem for a
class of networked systems with unknown nonlinearities under the effects of bit rate …

In this paper, the set-membership state and parameter estimation problems are considered
for linear time-varying systems. The noises in the system are unknown but bounded and the …

This article is devoted to the investigation of the p th moment synchronization problem for
stochastic impulsive neural networks (SINNs) with time-varying coefficients and unbounded …

This paper investigates the issue of fault estimation (FE) in a distributed way for nonlinear
time-varying systems via a digital communication channel. In order to relieve the …