Results 11 to 20 of about 555,440 (299)
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers [PDF]
Computer Vision and Pattern Recognition, 2022 Two-branch network architecture has shown its efficiency and effectiveness in real-time semantic segmentation tasks. However, direct fusion of high-resolution details and low-frequency context has the drawback of detailed features being easily ...
Jiacong Xu +2 more
semanticscholar +1 more source
Failed PIDs and unreliable PID implementations
, 2023 This case study is part of a series that has been produced within the study on “Risks and Trust in pursuit of a well-functioning PID infrastructure for research” commissioned by the Knowledge Exchange in July 2021. The main outcome of this work is a report examining the current PID landscape with an emphasis on its risks and trust-related issues.The ...
de Castro, Pablo +3 more
openaire +4 more sources
Intelligent-PID with PD Feedforward Trajectory Tracking Control of an Autonomous Underwater Vehicle
Machines, 2023 This paper investigates the model-free trajectory tracking control problem for an autonomous underwater vehicle (AUV) subject to the ocean currents, external disturbances, measurement noise, model parameter uncertainty, initial tracking errors, and ...
Z. Bingul, K. Gul
semanticscholar +1 more source
Fuzzy-PID-Based Atmosphere Packaging Gas Distribution System for Fresh Food
Applied Sciences, 2023 The regulation process of gas distribution systems for atmosphere packaging has the characteristics of being nonlinear time varying and having hysteric delay.
Haiyu Zhang +5 more
semanticscholar +1 more source
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning [PDF]
Control Engineering Practice, 2021 Deep reinforcement learning (RL) is an optimization-driven framework for producing control strategies for general dynamical systems without explicit reliance on process models. Good results have been reported in simulation.
Nathan P. Lawrence +5 more
semanticscholar +1 more source
Dual Design PID Controller for Robotic Manipulator Application
Journal of Robotics and Control (JRC), 2023 This research introduces a dual design proportional–integral–derivative (PID) controller architecture process that aims to improve system performance by reducing overshoot and conserving electrical energy.
Phichitphon Chotikunnan +1 more
semanticscholar +1 more source
Self-Tuning Control of Manipulator Positioning Based on Fuzzy PID and PSO Algorithm
Frontiers in Bioengineering and Biotechnology, 2022 With the manipulator performs fixed-point tasks, it becomes adversely affected by external disturbances, parameter variations, and random noise. Therefore, it is essential to improve the robust and accuracy of the controller.
Ying-Tsen Liu +8 more
semanticscholar +1 more source
Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor
International Journal of Robotics and Control Systems, 2022 The use of DC motors is now common because of its advantages and has become an important necessity in helping human activities. Generally, motor control is designed with PID control.
Eka Suci Rahayu +2 more
semanticscholar +1 more source
Proceedings of the Conference on Research Data Infrastructure, 2023 We report on ongoing discussions and plans of NFDI consortia in physics and reltated natural sciences with respect to (persistent) identifiers.
Thomas Schörner-Sadenius +8 more
openaire +2 more sources
PID control system analysis and design [PDF]
, 2006 With its three-term functionality offering treatment of both transient and steady-state responses, proportional-integral-derivative (PID) control provides a generic and efficient solution to realworld control problems.
Ang, K.H. +5 more
core +1 more source