An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator
This paper presents a new metaheuristic algorithm by enhancing one of the recently
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …
Robust model predictive control paradigm for automatic voltage regulators against uncertainty based on optimization algorithms
This paper introduces a robust model predictive controller (MPC) to operate an automatic
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …
voltage regulator (AVR). The design strategy tends to handle the uncertainty issue of the …
Fuzzy superior mandelbrot sets
Mandelbrot set and Julia set are two very important investigations in complex dynamics, and
represented the collection of all complex numbers C based on the function fcz= z 2+ c …
represented the collection of all complex numbers C based on the function fcz= z 2+ c …
Simulation and validation of optimized pid controller in agv (automated guided vehicles) model using pso and bas algorithms
Automated guided vehicles (AGVs) are popular subsets of robots that come in various
shapes and sizes. The group's use in the industry ranges from applications for carrying …
shapes and sizes. The group's use in the industry ranges from applications for carrying …
Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation
Artificial bee colony (ABC) is a type of popular swarm intelligence optimization algorithm. It is
widely concerned because of its easy implementation, few parameters and strong global …
widely concerned because of its easy implementation, few parameters and strong global …
Optimal design of low computational burden model predictive control based on SSDA towards autonomous vehicle under vision dynamics
The adjusting of autonomous vehicles (AVs) steering angle represents a challenging issue
in the intelligent vehicular applications. Among different control strategies, the model …
in the intelligent vehicular applications. Among different control strategies, the model …
Design, implementation, and optimization of sliding mode controller for automatic voltage regulator system
M Furat, GG Cücü - IEEE Access, 2022 - ieeexplore.ieee.org
Academic studies on the Automatic Voltage Regulator (AVR) have focused on a linear
mathematical model which lacks protective features. A more accurate model of the AVR …
mathematical model which lacks protective features. A more accurate model of the AVR …
A feature selection based on improved artificial hummingbird algorithm using random opposition-based learning for solving waste classification problem
Recycling tasks are the most effective method for reducing waste generation, protecting the
environment, and boosting the overall national economy. The productivity and effectiveness …
environment, and boosting the overall national economy. The productivity and effectiveness …
Improvement of trajectory tracking by robot manipulator based on a new co-operative optimization algorithm
The tracking of a predefined trajectory with less error, system-settling time, system, and
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …
Resilient pida control design based frequency regulation of interconnected time-delayed microgrid under cyber-attacks
M Kumar - IEEE Transactions on Industry Applications, 2022 - ieeexplore.ieee.org
This paper addresses the robust and resilient PIDA control design for frequency regulation
of the cyber-physical power system. PIDA control design is carried-out using a recently …
of the cyber-physical power system. PIDA control design is carried-out using a recently …