Results 11 to 20 of about 5,072,412 (324)
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming [PDF]
, 2018 Autonomously training interpretable control strategies, called policies, using pre-existing plant trajectory data is of great interest in industrial applications. Fuzzy controllers have been used in industry for decades as interpretable and efficient system controllers.
Alba E. +9 more
arxiv +3 more sources
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein +7 more
wiley +1 more source
Fuzzy PID Control for Respiratory Systems [PDF]
Journal of Healthcare Engineering, 2021 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
Asian journal of control, 2020 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
Fixed-Time Adaptive Fuzzy Control for Uncertain Nonlinear Systems
IEEE transactions on fuzzy systems, 2021 Most current methodologies on fixed-time adaptive fuzzy control for uncertain nonlinear systems result in practical fixed-time stability but not fixed-time stability, or require prior knowledge of the system dynamics.
Kaixin Lu +3 more
semanticscholar +1 more source
Perspectives of fuzzy systems and control [PDF]
Fuzzy Sets and Systems, 2005 Although fuzzy control was initially introduced as a model-free control design method based on the knowledge of a human operator, current research is almost exclusively devoted to model-based fuzzy control methods that can guarantee stability and robustness of the closed-loop system.
Sala, Antonio +2 more
openaire +4 more sources
Fuzzy logic control for watering system
Scientific Reports, 2023 AbstractA 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. The developed model was tested by analyzing water distribution in a conventional (clock-controlled) irrigation model.
Akdeniz, C. +3 more
openaire +3 more sources
Sampled-data fuzzy controller for continuous nonlinear systems [PDF]
, 2008 The sampled-data fuzzy control of nonlinear systems is presented. The consequents of the fuzzy controller rules are linear sampled-data sub-controllers. As a result, the fuzzy controller is a weighted sum of some linear sampled-data sub-controllers that ...
Chen +7 more
core +1 more source
Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements [PDF]
, 2003 This paper studies the problem of designing an H∞ fuzzy feedback control for a class of nonlinear systems described by a continuous-time fuzzy system model under sampled output measurements.
Bamieh +15 more
core +1 more source
Nonlinear modelling and optimal control via Takagi-Sugeno fuzzy techniques: A quadrotor stabilization [PDF]
, 2020 Using the principles of Takagi-Sugeno fuzzy modelling allows the integration of flexible fuzzy approaches and rigorous mathematical tools of linear system theory into one common framework.
Dočekal, Tomáš +2 more
core +1 more source