Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems
The connection weights parameters play important roles in adjusting the performance of PID
neural network (PIDNN) for complex control systems. However, how to obtain an optimal set …
neural network (PIDNN) for complex control systems. However, how to obtain an optimal set …
[HTML][HTML] An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition
The optimal generation of initial connection weight parameters and dynamic updating
strategies of connection weights are critical for adjusting the performance of back …
strategies of connection weights are critical for adjusting the performance of back …
Optimization of fractional order controllers for AVR system using distance and levy-flight based crow search algorithm
This paper proposes a Distance and Levy-flight based Crow Search Algorithm (DLCSA) for
optimization of three Fractional-order controllers: Fractional Order Proportional-Integral …
optimization of three Fractional-order controllers: Fractional Order Proportional-Integral …
[HTML][HTML] Design of a fractional order frequency PID controller for an islanded microgrid: A multi-objective extremal optimization method
H Wang, G Zeng, Y Dai, D Bi, J Sun, X Xie - Energies, 2017 - mdpi.com
Fractional order proportional-integral-derivative (FOPID) controllers have attracted
increasing attentions recently due to their better control performance than the traditional …
increasing attentions recently due to their better control performance than the traditional …
Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval
M Woźniak, D Połap - Neural Networks, 2017 - Elsevier
Simulation and positioning are very important aspects of computer aided engineering. To
process these two, we can apply traditional methods or intelligent techniques. The difference …
process these two, we can apply traditional methods or intelligent techniques. The difference …
Black hole attack prevention in mobile ad-hoc network (MANET) using ant colony optimization technique
The Mobile ad-hoc networks are auto configured systems where hubs can travel towards
any direction. It doesn't rely on any other frame to build the framework. Because of its …
any direction. It doesn't rely on any other frame to build the framework. Because of its …
Feedback error learning controller based on RMSprop and Salp swarm algorithm for automatic voltage regulator system
MAL Khaniki, MB Hadi… - 2020 10th International …, 2020 - ieeexplore.ieee.org
The primary goal of the Automatic Voltage Regulator (AVR) is to control the terminal voltage
at the desired level. The controller used in AVR must be capable of maintaining generator …
at the desired level. The controller used in AVR must be capable of maintaining generator …
[HTML][HTML] Optimal PQ control of grid-connected inverters in a microgrid based on adaptive population extremal optimization
The optimal PQ control issue of the active and reactive power for a microgrid in the grid-
connected mode has attracted increasing interests recently. In this paper, an optimal active …
connected mode has attracted increasing interests recently. In this paper, an optimal active …
Tuning of novel fractional order fuzzy PID controller for automatic voltage regulator using grasshopper optimization algorithm
One of the most important equipment in the power system is the Automatic Voltage
Regulator (AVR) or synchronous generator excitation. The goal of the system is to maintain …
Regulator (AVR) or synchronous generator excitation. The goal of the system is to maintain …
Master–slave stochastic optimization for model-free controller tuning
This paper presents the model-free tuning of Fractional Order Proportional–Integral–
Derivative (FOPID) controllers for twin rotor multi input multi output system (TRMS) using …
Derivative (FOPID) controllers for twin rotor multi input multi output system (TRMS) using …