Results 131 to 140 of about 24,248 (241)

HyLPD Digital Twin Control for UAV Stability in High‐Wind Conditions

Optimal Control Applications and Methods, EarlyView.
This work introduces a novel HyLPD, a hybrid control framework combining Linear Quadratic Regulator (LQR) for baseline stability and Deep Deterministic Policy Gradient (DDPG) for adaptive compensation, tailored for UAVs under high‐wind conditions.
Cara Rose, Robert McMurray, Muhammad Usman Hadi   +2 more
wiley   +1 more source

Intelligent vehicle lateral control strategy research based on feedforward + predictive LQR algorithm with GA optimisation and PID compensation

Scientific Reports
Targeting the lateral motion control problem in the intelligent vehicle autopilot structural system, this paper proposes a feedforward + predictive LQR algorithm for lateral motion control based on Genetic Algorithm (GA) parameter optimisation and PID ...
Zhu-an Zheng, Zimo Ye, Xiangyu Zheng
doaj   +1 more source

Designing robust Mixed H /H PID Controllers based Intelligent Genetic Algorithm [PDF]

Iraqi Journal for Electrical and Electronic Engineering, 2011
- It's not easy to implement the mixed / optimal controller for high order system, since in the conventional mixed / optimal feedback the order of the controller is much than that of the plant. This difficulty had been solved by using the structured
Ramzy S. Ali Al-Waily, Ali Abdullah K. Al-Thuwainy   +1 more
doaj  

Intelligent Wind Turbine Using Fuzzy PID Control

, 2017
This thesis demonstrates how small wind turbines can contributeto a greener planet by using wind energy to generateelectrical power. It compares the conventional PIDcontroller with the Fuzzy PID controller, implemented ina small wind turbine that was constructed using variousmachines.
Hedlund, Richard, Timarson, Niklas
openaire   +1 more source

A Novel Crawling Robot Based on the Hexagonal Mesh Structure and Enhanced PID Control Strategy

Journal of Field Robotics, EarlyView.
ABSTRACT The locomotion of crawling robots is similar to that of caterpillars, relying on foot adhesion and body contraction to ensure flexible movement without compromising stability. However, most existing pneumatic soft crawling robots are incapable of simultaneously achieving forward, backward, turning, and climbing capabilities.
Meng Hongjun, Ren Yuke, Wei Jingtao, Zhang Shupeng, Zhang Wei   +4 more
wiley   +1 more source

Illicit Drug‐Derived Volatile Organic Compounds as Markers for Application in Noncontact Detection Technology

The Chemical Record, EarlyView.
This review highlights the characteristic odor markers of illicit drugs, emphasizing volatile markers from both natural and synthetic sources, and explores the shift from canine‐based detection to emerging noncontact sensing technologies. Illicit drug use remains a global concern, requiring effective detection methods to counter evolving concealment ...
Minwoo Kim, Solpa Lee, Anmo J. Kim, Cong Wang, Yongwoo Jang   +4 more
wiley   +1 more source

Machine Learning-Based Control of Autonomous Vehicles for Solar Panel Cleaning Systems in Agricultural Solar Farms

AgriEngineering
This paper presents a machine learning (ML)-based approach for the intelligent control of Autonomous Vehicles (AVs) utilized in solar panel cleaning systems, aiming to mitigate challenges arising from uncertainties, disturbances, and dynamic environments.
Farima Hajiahmadi, Mohammad Jafari, Mahmut Reyhanoglu   +2 more
doaj   +1 more source

AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang, Zi Yu, Hui Peng, Zixuan Wang, Xiaokang Dai, Weirong Liu, Jing Wang   +6 more
wiley   +1 more source

Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Nonconvex optimisation plays a crucial role in science and industry. However, existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems, lacking robustness in noise scenarios. To address these limitations, we aim to develop a robust, efficient and globally convergent solver for ...
Yipiao Chen, Wenbin Du, Huichao Cao, Long Jin   +3 more
wiley   +1 more source

Robotic Cell Micromanipulation Skill Learning via Imitation‐Enhanced Reinforcement Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Humans can learn complex and dexterous manipulation tasks by observing videos, imitating and exploring. Multiple end‐effectors manipulation of free micron‐sized deformable cells is one of the challenging tasks in robotic micromanipulation. We propose an imitation‐enhanced reinforcement learning method inspired by the human learning process ...
Youchao Zhang, Fanghao Wang, Xiangyu Guo, Yibin Ying, Mingchuan Zhou, Zhongliang Jiang, Alois Knoll   +6 more
wiley   +1 more source