Optimization-based control strategies are an affirmed research topic in the area of electric
motor drives. These methods typically rely on the accurate parametric representation of …

This article presents an event-triggered data-driven load frequency control (LFC) method for
multiarea interconnected power systems via model-free adaptive control, where the dynamic …

The consensus tracking and containment control problems of multiple-input and multiple-
output (MIMO) nonaffine nonlinear multiagent systems (MASs) are studied in this article …

Unknown disturbances such as parameter perturbations, PM demagnetization fault, and
external disturbances degrade the control performance of a permanent magnet synchronous …

This article presents an adaptive method for ArduPilot-based autopilots of fixed-wing
unmanned aerial vehicles (UAVs). ArduPilot is a popular open-source unmanned vehicle …

This brief investigates the data-driven control problem for a class of nonlinear systems. An
incremental triangular dynamic linearization (ITDL) model is presented to equivalently …

It is well known that the interaction between cascaded individually designed power
conversion systems can cause instability. To overcome this issue, a Hamiltonian energy …

This article aims at solving the problems of data-driven control design in the presence of
strong uncertainties, hard nonlinearities, and model dependency by using a dynamic …

This paper considers the compensation control problem for a class of nonlinear discrete-
time systems subject to bounded disturbances. With the help of the dynamic linearization …

In the positioning and anti-swing control of bridge crane, a model-free adaptive control
(MFAC) based on data-driven is proposed in order to eliminate the dependence of controller …