In this paper, hybrid models of Kalman filter and neural network for state estimation are
reviewed of their corresponding academic achievements, the creation of which is a …

The adaptive dynamic programming (ADP) technology has been widely used benefiting
from its recursive structure in forward and the prospective conception of reinforcement …

The heuristic dynamic programming (HDP)()-based optimal control strategy, which takes a
long-term prediction parameter into account using an iterative manner, accelerates the …

The paper proposes a Virtual Target Guidance (VTG)-based distributed Model Predictive
Control (MPC) scheme for formation control of multiple Unmanned Aerial Vehicles (UAVs) …

In this article, the event-triggered robust control of unknown multiplayer nonlinear systems
with constrained inputs and uncertainties is investigated by using adaptive dynamic …

This article concentrates on the event-driven controller design problem for a class of
nonlinear single input single output parametric systems with full state constraints. A varying …

This article is concerned with the problem of state estimation for continuous-time polynomial
nonlinear (CTPN) systems with unknown but bounded disturbances. The Taylor polynomial …

This article investigates the event-triggered observer-based output feedback load frequency
control (LFC) problem for power systems. To reduce the amount of the transmitted signals, a …

In this article, a novel adaptive dynamic programming (ADP) approach is proposed for the
optimal control problem of nonlinear continuous control systems with unknown dynamics …

In this article, we address the event-triggered based adaptive finite-time control problem for
active suspension systems (ASSs) over the resource-constrained controller area network …