A brief overview on the model-based control and data-driven control methods is presented.
The data-driven equivalent dynamic linearization, as a foundational analysis tool of data …

Modern power grids are fast evolving with the increasing volatile renewable generation,
distributed energy resources (DERs) and time-varying operating conditions. The DERs …

In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual
successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the …

This article investigates the adaptive fuzzy asynchronous control problem for discrete-time
nonhomogeneous Markov jump power systems under hybrid attacks. A nonhomogeneous …

As the wind-integrated power system is a strongly nonlinear system with uncertain operating
conditions that vary with time, it is difficult to guarantee the effectiveness of the conventional …

This article considers the tracking control of unknown nonlinear nonaffine repetitive discrete-
time multi-input multi-output systems. Two data-driven iterative learning control (ILC) …

In this paper, a novel data-driven model-free adaptive predictive control method based on
lazy learning technique is proposed for a class of discrete-time single-input and single …

The strong nonlinearity, time-varying structure, and complex operating conditions in
interconnected power systems with the wind farm deteriorate the control performance of …

In this study, a model-free adaptive predictive control (MFAPC) method is proposed for a
class of unknown nonlinear non-affine multiple-input and multiple-output (MIMO) systems …

Interarea oscillation is one of the main challenges for the secure and stable operation of a
large-scale interconnected power system. To address this problem, this paper presents an …