In this article, the tracking control problem of event-triggered multigradient recursive reinforcement
learning is investigated for nonlinear multiagent systems (MASs). Attention is focused …

This article investigates the model-free fault-tolerant containment control problem for
multiagent systems (MASs) with time-varying actuator faults. Depending on the relative state …

In this paper, an adaptive neural network (NN) control problem is investigated for discrete-time
nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including critic …

This article investigates an adaptive reinforcement learning (RL) optimal control design problem
for a class of nonstrict-feedback discrete-time systems. Based on the neural network (NN…

In this paper, the adaptive cooperative control problem is studied for a class of second order
multi-agent systems (MASs) with actuator fault via reinforcement learning (RL). The strategic …

The reinforcement learning-based prescribed performance optimal tracking control problem
is considered for a class of strict-feedback nonlinear systems in this paper. The unknown …

In this paper, a robust adaptive output feedback optimal tracking control design based on
fuzzy logic systems (FLSs) is proposed for dynamic positioning (DP) of marine vessels with …

In this article, the asynchronous fault detection (FD) strategy is investigated in frequency
domain for nonlinear Markov jump systems under fading channels. In order to estimate the …

This paper focuses on the design of a reduced adaptive fuzzy tracking controller for a class of
high-order stochastic nonstrict feedback nonlinear systems with full-state constraints. In the …

Background Chemoresistance is the main reason for the poor prognosis of pancreatic ductal
adenocarcinoma (PDAC). Thus, there is an urgent need to screen out new targets and …