In bipartite consensus tracking (BCT) tasks for nonlinear multiagent systems (MASs),
stochastic disturbances and actuator faults are regarded as essential factors that hamper …

In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered
for a class of strict-feedback systems in the presence of actuator faults and dynamic …

This study considers an adaptive neural-network (NN) periodic event-triggered control
(PETC) problem for switched nonlinear systems (SNSs). In the system, only the system …

This article addresses a finite-time prescribed performance controller within the concise
fuzzy-neural framework with application to a waverider aircraft. First, new finite-time …

This article studies the issue of adaptive neural network (NN) control for strict-feedback multi-
input and multioutput (MIMO) nonlinear systems with full-state constraints and actuator …

In this paper, an adaptive neural tracking control scheme for a class of uncertain switched
multi-input multi-output (MIMO) pure-feedback nonlinear systems is proposed. The …

The problem of secure adaptive-event-triggered filter design with input constraint and hybrid
cyber attack is investigated in this article. First, a new model of hybrid cyber attack, which …

In this paper, a multiple ensemble neural network model with fuzzy response aggregation for
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …

This article addresses the issue of the fuzzy adaptive prescribed performance control (PPC)
design for nonstrict feedback multiple input multiple output (MIMO) nonlinear systems in …

This paper investigates the leader-following consensus control problem for a class of
nonlinear multiagent systems subject to sensor and actuator faults under a fixed directed …