This paper investigates an observer‐based optimal fault‐tolerant tracking control problem
for interconnected nonlinear systems with input constraints and mismatched disturbances …

This article is devoted to data-driven event-triggered adaptive dynamic programming (ADP)
control for nonlinear systems under input saturation. A global optimal data-driven control law …

This paper is devoted to model free optimal control of unknown nonaffine nonlinear systems
with input quantization and DoS attacks. Without model information, the system is presented …

This article aims to study event-triggered data-driven control of nonlinear systems via Q-
learning. An input-output map** is described by a pseudo-partial derivatives form. A Q …

In this paper, a novel adaptive dynamic programming (ADP)-based optimal control method
is developed for discrete-time systems subject to constraints and disturbances. Particularly …

Nonlinear modeling, multi-uncertainty analysis and robust control are the main challenges
for networked control applications in industrial scenarios. To address these difficulties, this …

This paper investigates the phenomenon of implicit zero control gain in nonaffine discrete-
time systems caused by dead-zone regions, utilizing an experimental setup focused on …

This paper presents a theoretical analysis of the value iteration Q-learning with non-
discounted costs. The analysis focuses on two main aspects: the convergence of the …

This paper proposes an adaptive critic attitude learning control for hypersonic morphing
vehicles (HMVs) under large uncertainties and deformation. Firstly, to remove the recursive …

This paper investigates the problem of input-constrained optimal control for nonaffine
nonlinear discrete-time systems in the presence of an inaccurate model. To address this …