Results 31 to 40 of about 4,408 (190)

Simulation and Implementation of Adaptive Fuzzy PID

Journal of Networks, 2014
With the exponential growth of the Internet traffic, congestion problems become severe. To solve these severe problems, the Internet Engineering Task Force (IETF) recommends implementing the Active Queue Management (AQM) mechanism on the Internet routers.
Xiaoping Yang, Chunfeng Song, Jiwei Sun, Xiaojing Wang   +3 more
openaire   +1 more source

Improvement of predictive control algorithm based on fuzzy fractional order PID

Journal of Intelligent Systems, 2023
The existing predictive control strategy has comprehensive prior knowledge of the controlled process, requires weak continuity of the search space for parameter optimization, and its application is limited to some extent.
Shi Rongzhen
doaj   +1 more source

Research on heat pump air conditioner compressor speed control strategy based on whale algorithm

Case Studies in Thermal Engineering
Accurate control of compressor speed is crucial for enhancing the heating performance of heat pump air conditioning systems and extending the driving range of electric vehicles. Based on traditional PID control and fuzzy PID control strategies, a control
Zhaoju Qin, Xingda Wang, Hanbo Zhang, Fangfang Liu, Chenyang Yin, Zhen Han, Weihong Weng   +6 more
doaj   +1 more source

Applications of Fuzzy adaptive PID control in the thermal power plant denitration liquid ammonia evaporation

MATEC Web of Conferences, 2016
For the control of the liquid level of liquid ammonia in thermal power plant’s ammonia vaporization room, traditional PID controller parameter tuning is difficult to adapt to complex control systems, the setting of the traditional PID controller ...
Li Jing, Zhang Guo Qing, Cheng Huan Xin, Cheng Li   +3 more
doaj   +1 more source

Using Simplified Swarm Optimization on Multiloop Fuzzy PID Controller Tuning Design for Flow and Temperature Control System

Applied Sciences, 2020
This study proposes the flow and temperature controllers of a cockpit environment control system (ECS) by implementing an optimal simplified swarm optimization (SSO) fuzzy proportional-integral-derivative (PID) control.
Ting-Yun Wu, Yun-Zhi Jiang, Yi-Zhu Su, Wei-Chang Yeh   +3 more
doaj   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Adaptive Fuzzy PID Control System for Satellite Earth Station Antenna Group Factor Based on Edge Calculation

天地一体化信息网络, 2023
The antenna tracking control system of satellite ground receiving station generally adopts PID control.Due to the infl uence of various uncertain factors, it is diffi cult to obtain the optimal control parameters for this kind of system, resulting in the
Haibin SHAN, Yanjun SHI, Zijing LIU, Yuanhong LI, Wenhua ZHAO, Muquan HE, Chuzhou LI   +6 more
doaj   +2 more sources

POSITION CONTROL OF A QUADCOPTER WITH PID AND FUZZY-PID CONTROLLER

Mühendislik Bilimleri ve Tasarım Dergisi
In this study, PID based efficient control systems are designed and compared for position control of a quadcopter in six degrees of freedom. The main goal is to get the quadcopter to the desired position in three-dimensional space. Firstly, the desired position for the quadcopter to reach is determined.
Ozan Polat, Aziz Sezgin
openaire   +2 more sources

Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu, Chenchen Li, Yufeng Wang, Zhengyan Wang, Yulian Peng, Zhipeng Wei, Hongbo Wang   +6 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source