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

Model-free control is an important and promising topic in control fields, which has attracted
extensive attention in the past few years. In this paper, we aim to solve the model-free …

In this article, we consider an iterative adaptive dynamic programming (ADP) algorithm
within the Hamiltonian-driven framework to solve the Hamilton–Jacobi–Bellman (HJB) …

For nonlinear dynamical systems, an optimal control problem generally requires solving a
partial differential equation called the Hamilton–Jacobi–Bellman equation, the analytical …

In this paper, we propose a data-driven supplementary control approach with adaptive
learning capability for air-breathing hypersonic vehicle tracking control based on action …

This article investigates the adaptive resilient event-triggered control for rear-wheel-drive
autonomous (RWDA) vehicles based on an iterative single critic learning framework, which …

This paper presents a novel non-model-based, data-driven adaptive optimal controller
design for linear continuous-time systems with completely unknown dynamics. Inspired by …

This paper proposes a novel event-triggered adaptive dynamic programming (ADP) control
method for nonlinear continuous-time system with unknown internal states. Comparing with …

This paper focuses on the distributed optimal cooperative control for continuous-time
nonlinear multiagent systems (MASs) with completely unknown dynamics via adaptive …

Essentially, it is significant to supply the consumer with reliable and sufficient power. Since,
power quality is measured by the consistency in frequency and power flow between control …