Results 71 to 80 of about 3,302 (190)

Control System for the Navigation of the Agricultural Robots: A Review

Journal of Field Robotics, Volume 43, Issue 5, Page 3474-3505, August 2026.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía, Hugo Rafacho Fernandes, Daniel Albiero, Angel Pontin Garcia   +3 more
wiley   +1 more source

Enhanced Trajectory Control of Quadrotor UAV Using Fuzzy PID Based Recurrent Neural Network Controller

IEEE Access
This paper presents a novel Fuzzy PID-based Recurrent Neural Network (FPIDRNN) controller designed to enhance trajectory control in quadrotor Unmanned Aerial Vehicles (UAVs).
Nigatu Wanore Madebo, Chala Merga Abdissa, Lebsework Negash Lemma   +2 more
doaj   +1 more source

PID-LIKE FLC FOR FOUR CYLINDERS MEAN VALUE GASOLINE ENGINE MODEL IN IDLE MODE

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ, 2018
Automatic control of automotive engines provides benefits in the engines performance like emission reduction and fuel economy. Due to high dropping in the rotational speed in the presence of load torque and disturbance, which may lead to engine stalling,
Mohammed Y. Hassan, Muslim A. Abdali
doaj   +1 more source

Corrigendum to "Experimental implementation of a new multi input multi output fuzzy-PID controller in a poultry house system" [Heliyon 6 (8) (2020) e04645]. [PDF]

Heliyon, 2021
Lahlouh I, Rerhrhaye F, Elakkary A, Sefiani N.   +3 more
europepmc   +1 more source

Design and Modeling of an Intelligent Robotic Gripper Using a Cam Mechanism with Position and Force Control Using an Adaptive Neuro-Fuzzy Computing Technique

Automation
Manufacturers increasingly turn to robotic gripper designs to improve the efficiency of gripping and moving objects and provide greater flexibility to these objects. Neuro-fuzzy techniques are the most widespread in developing gripper designs.
Imad A. Kheioon, Raheem Al-Sabur, Abdel-Nasser Sharkawy   +2 more
doaj   +1 more source

Fuzzy-Based PID Motion Control for Inhalation-Type Floating Garbage Cleaning Robots

IEEE Access
This paper introduces an intelligent controlled cleaning tool for picking up underwater floating garbage. An inhalation-type garbage cleaning robot is designed not only to improve the efficiency of garbage collection but also to simplify the controller ...
Zheng Li, Xiaoxiao Mi, Michael V. Basin, Hongzheng Zeng   +3 more
doaj   +1 more source

Composite Fuzzy-Based Control Strategy for Uncertain Underactuated System

IEEE Access
Most practical systems are influenced by disturbances and uncertainties within their models, increasing the need for robust control algorithms. Type-2 fuzzy theory and its variant, interval type-2 fuzzy, are well-regarded for their capability to ...
Duc-Binh Pham, Thi-van-Anh Nguyen, Ngoc-Tam Bui   +2 more
doaj   +1 more source

Design of Adaptive Neural Fuzzy Controller for Speed Control of BLDC Motors

Majlesi Journal of Electrical Engineering
The purpose of this paper is to design an adaptive neuro-fuzzy controller to control the speed of the BLDC motor. This paper throws overall view of the performance of fuzzy PID controller and compares with fuzzy - adaptive neural controller.
Akbar Karimi Pouya
doaj  

Nonholonomic Mobile Robot Trajectory Tracking using Hybrid Controller [PDF]

Mehran University Research Journal of Engineering and Technology, 2016
A control scheme is being presented for the trajectory tracking of a nonholonomic kinematic model of mobile robots. As a kinematic model of mobile robots is nonlinear in nature, therefore, it is controlling is always being a difficult task.
Muhammad Safwan, Valiuddin, Muhammad Asif   +2 more
doaj  

Experimental implementation of a new multi input multi output fuzzy-PID controller in a poultry house system. [PDF]

Heliyon, 2020
Lahlouh I, Rerhrhaye F, Elakkary A, Sefiani N.   +3 more
europepmc   +1 more source