The increasing complexity of modern plant systems and the limitations of precise
mathematical modeling have led to a shift towards data-driven control methods. These …

There is a strong trend in the development of control systems for multi-rotor unmanned aerial
vehicles (UAVs), where minimization of a control signal effort is conducted to extend the …

The degradation of methylparaben (MP) through 20 kHz ultrasound coupled with a
bimetallic Co-Fe carbon xerogel (CX/CoFe) was investigated in this work. Experiments were …

In this paper, an optimal robust adaptive fuzzy backstep** control is presented to the
position control of the electro-hydraulic servo (EHS) system in the presence of structured …

The brain emotional learning (BEL) control paradigm has been gathering increased interest
by the control systems design community. However, the lack of a consistent mathematical …

Concerning the lack of knowledge about non-linearity and uncertainties existing in the cable-
driven robot models, an intelligent controller is proposed in this paper to overcome the lack …

A buildings resilience to seismic activity can be increased by providing ways for the structure
to dynamically counteract the effect of the Earth's crust movements. This ability is …

第四次工业革命利用信息化技术促进产业变革, 将带我们进入智能化时代.
由于液压系统作为核心动力和控制部分, 广泛应用于先进制造, 航空航天, 海洋等重大装备 …

Purpose This study aims to minimize the risk of costly failures of flight tests during the path
tracking control design, and a noble approach has been proposed in this study to put the …

This article proposes an implementation of the brain emotional learning‐based intelligent
controller (BELBIC) for high‐precision and robust pitch control of a 5‐MW wind turbine. The …