Results 31 to 40 of about 24,248 (241)
Intelligent PID Controller on Soft Computing
Journal of Computers, 2012 The PID control algorithm is used for the control of almost all loops in the process industries, and is also the basis for many advanced control algorithms and strategies. For complex systems, controller’s structure and parameters need to rely on experience and on line tuning to determine.
Honghua Xu +3 more
openaire +1 more source
IEEE Access, 2021 The power electronics industry is undergoing a revolution driven by an industry 4.0 perspective, with smart and green/hybrid energy management systems being the requirement of the future.
Preeti Warrier, Pritesh Shah
doaj +1 more source
Revisiting some practical issues in the implementation of model-free control
, 2011 International audienceThis paper simplifies several aspects of the practical implementation of the newly introduced model-free control and of the corresponding "intelligent" PID controllers (M. Fliess, C.
Fliess, Michel +2 more
core +2 more sources
Temperature sensitive controller performance of MR dampers [PDF]
, 2009 Magnetorheological (MR) dampers can experience large temperature changes as a result of heating caused by energy dissipation, but control systems are often designed without consideration of this fact.
Batterbee, D., Sims, N.D.
core +1 more source
Genetic programming for the automatic design of controllers for a surface ship [PDF]
, 2008 In this paper, the implementation of genetic programming (GP) to design a contoller structure is assessed. GP is used to evolve control strategies that, given the current and desired state of the propulsion and heading dynamics of a supply ship as ...
D.J. Murray-Smith +3 more
core +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Adaptive Inverse Neural Network Based DC Motor Speed and Position Control Using FPGA
Diyala Journal of Engineering Sciences, 2018 In this research two types of controllers are designed in order to control the speed and position of DC motor. The first one is a conventional PID controller and the other is an intelligent Neural Network (NN) controller that generate a control signal ...
Aula N. Abd, Abbas H. Issa
doaj +1 more source
Online DE Optimization for Fuzzy-PID Controller of Semi-Active Suspension System Featuring MR Damper
IEEE Access, 2022 In pursuit of a comfortable vehicle driving in different road profiles, intelligent methods are used to improve the vehicle’s suspension system.
Hesham Ahmed +5 more
doaj +1 more source
A survey of fuzzy control for stabilized platforms
, 2011 This paper focusses on the application of fuzzy control techniques (fuzzy type-1 and type-2) and their hybrid forms (Hybrid adaptive fuzzy controller and fuzzy-PID controller) in the area of stabilized platforms.
Leghmizi, Said, Liu, Sheng
core +1 more source
A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments [PDF]
, 2019 In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance.
Fayaz, Muhammad +4 more
core +2 more sources