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Fuzzy logic control for watering system
A two-dimensional finite element (FEM) model was developed to simulate water propagation in soil during irrigation. The first dimension was water distribution depth in soil, and the second dimension was time.
Maciej Neugebauer +3 more
doaj +4 more sources
Fuzzy logic for structural system control [PDF]
This paper provides some information and numerical tests that aims to investigate the use of a Fuzzy Controller applied to control systems. Some advantages are reported regarding the use of this controller, such as the characteristic ease of ...
Herbert Martins Gomes
doaj +4 more sources
Modern energy automation solutions and demand response applications rely on load profiles to monitor and manage electricity consumption effectively.
Dimitrios Kontogiannis +2 more
semanticscholar +1 more source
As hydroenergetic losses are inherent to water supply systems, they are a frequent issue which water utilities deal with every day. The control of network pressure is essential to reducing these losses, providing a quality supply to consumers, saving ...
José Vinicius Santos de Araújo +4 more
doaj +1 more source
Staircase Detection, Characterization and Approach Pipeline for Search and Rescue Robots
Currently, most rescue robots are mainly teleoperated and integrate some level of autonomy to reduce the operator’s workload, allowing them to focus on the primary mission tasks.
José Armando Sánchez-Rojas +3 more
doaj +1 more source
Designing Control Strategies of Aeration System in Biological WWTP
The paper presents the complete design processes of novel aeration control systems in the SBR (sequencing batch reactor) wastewater treatment plant (WWTP).
Robert Piotrowski, Tomasz Ujazdowski
doaj +1 more source
Formation of optimal control of nonlinear dynamic object based on Takagi-Sugeno model [PDF]
The algorithm of fuzzy control system essentially nonlinear dynamic object is considered in this article. For solving nonlinear optimal control problem is proposed to use the method of linear quadratic regulation (LQR) with fuzzy Takagi-Sugeno model. The
Sergey Nikolayevich Chukanov +1 more
doaj +1 more source
This study proposes an anti‐slip control system for electric trains based on the fuzzy logic theory, which prevents the wheels from slipping during the acceleration and simultaneously tracks the desired speed profile.
B. Moaveni +2 more
semanticscholar +1 more source
Fuzzy PID Control for Respiratory Systems [PDF]
This paper presents the implementation of a fuzzy proportional integral derivative (FPID) control design to track the airway pressure during the mechanical ventilation process. A respiratory system is modeled as a combination of a blower-hose-patient system and a single compartmental lung system with nonlinear lung compliance.
Ibrahim M. Mehedi +4 more
openaire +2 more sources
Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control
Average speed is crucial for calculating link travel time to find the fastest path in a road network. However, readily available data sources like OpenStreetMap (OSM) often lack information about the average speed of a road.
Johanna Guth +2 more
doaj +1 more source

