The increased usage of renewable energy sources (RESs) and the intermittent nature of the
power they provide lead to several issues related to stability, reliability, and power quality. In …

While anomaly detection is relatively well-studied, it remains a topic of ongoing interest and
challenge, as our society becomes increasingly interconnected and digitalized. In this paper …

Connected automated vehicles (CAVs) serve as a promising enabler for future intelligent
transportation systems because of their capabilities in improving traffic efficiency and driving …

Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …

This paper is concerned with the adaptive event-triggered control problem of nonlinear
continuous-time systems in strict-feedback form. By using the event-sampled neural network …

This paper presents a novel approximation-based event-triggered control of multi-input multi-
output uncertain nonlinear continuous-time systems in affine form. The controller is …

An intelligent-optimal control scheme for unknown nonaffine nonlinear discrete-time systems
with discount factor in the cost function is developed in this paper. The iterative adaptive …

This paper presents a novel human-like learning controller to interact with unknown
environments. Strictly derived from the minimization of instability, motion error, and effort, the …

Automatic generation control (AGC) is one of the important control problems in
interconnected power system design and operation, and is becoming more significant today …

The problem of H∞ state feedback control of affine nonlinear discrete-time systems with
unknown dynamics is investigated in this paper. An online adaptive policy learning …