Adaptive fuzzy PID control for a class of uncertain MIMO nonlinear systems with dead-zone inputs' nonlinearities
This paper proposes an adaptive fuzzy PID control for a class of multi-input multi-output
disturbed nonlinear systems with unknown dynamics and unknown dead-zone inputs' …
disturbed nonlinear systems with unknown dynamics and unknown dead-zone inputs' …
Ant colony optimization PID control of hypnosis with propofol using Renyi permutation entropy as controlled variable
General anesthesia is a critical procedure in clinical surgery. To offer a closed control of
depth of hypnosis, we establish a closed-loop anesthetic delivery system for propofol …
depth of hypnosis, we establish a closed-loop anesthetic delivery system for propofol …
Optimization of PID parameters using ant colony algorithm for position control of DC motor
Instead of standard techniques, intelligent ones are more preferred for motor control
applications. Since the most important factor to execute the control process in the shortest …
applications. Since the most important factor to execute the control process in the shortest …
Reduction of Large Scale Linear Dynamic MIMO Systems Using ACO-PID Controller
JM Alkhasraji, SW Shneen… - Ingeniería e …, 2024 - revistas.unal.edu.co
The MIMO technique is an essential element in the standards of communication systems
(IEEE 802.11 n, IEEE 802.11 ac, WiMAX, and LTE) because it helps to increase their …
(IEEE 802.11 n, IEEE 802.11 ac, WiMAX, and LTE) because it helps to increase their …
Controlador de velocidad PID-2DOF-ACO para motor DC sobre plataforma ARM
S Palacios, S Chiriboga… - Revista Ibérica de …, 2020 - search.proquest.com
The following document shows the development of a PID-2DOF controller tuned by Ant
Colony Optimization-ACO (Ant Colony Optimization), to control the speed of a DC motor. The …
Colony Optimization-ACO (Ant Colony Optimization), to control the speed of a DC motor. The …
Main metaheuristics used for the optimization of the control of the complex systems
Many optimization problems are usually NP-hard problems which prevent the
implementation of exact solution methodologies. This is the reason why engineers prefer to …
implementation of exact solution methodologies. This is the reason why engineers prefer to …
Controller parameter optimization using hybrid BFOA-PSO algorithm
S Gupta, R Gupta - 2016 IEEE 1st International Conference on …, 2016 - ieeexplore.ieee.org
In hybrid bacteria foraging optimization-particle swarm optimization (BFO-PSO) algorithm,
the principle of swarming is introduced in to BFO which eventually provides a superior result …
the principle of swarming is introduced in to BFO which eventually provides a superior result …
[PDF][PDF] PARTICLE SWARM OPTIMIZATION TECHNIQUE OF CURRENT TRACKING CONTROLLER FOR ELECTRIC POWER-ASSISTED STEERING SYSTEM
AA Bahmanshiri - University Putra Malaysia, 2015 - psasir.upm.edu.my
1.1 Background Electric vehicle (EV) technology start to kick back in 20th century after being
suppressed by the internal combustion engine (ICE) vehicle because of the increasing …
suppressed by the internal combustion engine (ICE) vehicle because of the increasing …
[图书][B] Planeamiento de trayectoria y control de un robot móvil marítimo aplicando optimización por colonia de hormigas
RHU Cabrera - 2016 - search.proquest.com
El presente trabajo desarrolla un algoritmo de planeamiento de trayectoria basado en
Optimización por Colonia de Hormigas, en conjunto con un controlador óptimo, para el …
Optimización por Colonia de Hormigas, en conjunto con un controlador óptimo, para el …
[DOC][DOC] Survey Paper on Economic Dispatch using Neural Networks, Fuzzy Logic and Ant Colony Optimization
M ANS - researchgate.net
This paper presents a study of the research papers relating to various aspects of economic
dispatch using Neural Networks, Fuzzy Logic and Ant Colony Optimization. Neural approach …
dispatch using Neural Networks, Fuzzy Logic and Ant Colony Optimization. Neural approach …