[HTML][HTML] Opposition based Henry gas solubility optimization as a novel algorithm for PID control of DC motor
This paper proposes Henry gas solubility optimization with opposition-based learning
(OBL/HGO) as a novel optimization approach for DC motor speed regulation. The proposed …
(OBL/HGO) as a novel optimization approach for DC motor speed regulation. The proposed …
Hunger games pattern search with elite opposite-based solution for solving complex engineering design problems
The hunger games search (HGS) algorithm is designed to tackle optimization problems,
however, issues such as local minimum stagnation and immature convergence hinder its …
however, issues such as local minimum stagnation and immature convergence hinder its …
[HTML][HTML] Enhancing IIR system identification: Harnessing the synergy of gazelle optimization and simulated annealing algorithms
In the field of digital filter design and system identification, accurately modeling Infinite
Impulse Response (IIR) systems is of utmost importance. This paper introduces a new …
Impulse Response (IIR) systems is of utmost importance. This paper introduces a new …
A new fusion of salp swarm with sine cosine for optimization of non-linear functions
The foremost objective of this article is to develop a novel hybrid powerful meta-heuristic that
integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for …
integrates the salp swarm algorithm with sine cosine algorithm (called HSSASCA) for …
Optimal FOPID speed control of DC motor via opposition-based hybrid manta ray foraging optimization and simulated annealing algorithm
In this study, a fractional-order proportional–integral–derivative (FOPID) controller was used
for controlling the speed of direct current (DC) motor. The parameters of the controller have …
for controlling the speed of direct current (DC) motor. The parameters of the controller have …
[HTML][HTML] An improved artificial rabbits optimization for accurate and efficient infinite impulse response system identification
Abstract Identifying models with Infinite Impulse Response (IIR) is crucial in signal
processing and system identification. This paper addresses the challenges of IIR model …
processing and system identification. This paper addresses the challenges of IIR model …
Dynamic opposite learning enhanced artificial ecosystem optimizer for IIR system identification
Y Niu, X Yan, Y Wang, Y Niu - The Journal of Supercomputing, 2022 - Springer
The contrive principle of the adaptive infinite impulse response (IIR) filter is to find the filter
parameters based on the error function, thus obtaining the best model of the unbeknown …
parameters based on the error function, thus obtaining the best model of the unbeknown …
Design and modeling of adaptive IIR filtering systems using a weighted sum-variable length particle swarm optimization
The use of optimization algorithms for designing Infinite Impulse Response (IIR) filters has
been considered in many studies. The concern in this area is the multimodal error surface of …
been considered in many studies. The concern in this area is the multimodal error surface of …
Artificial hummingbird optimizer as a novel adaptive algorithm for identifying optimal coefficients of digital IIR filtering systems
This paper introduces the artificial hummingbird algorithm (AHA) as a novel and efficient
algorithm for designing digital infinite impulse response (IIR) filtering systems. IIR filters are …
algorithm for designing digital infinite impulse response (IIR) filtering systems. IIR filters are …
Adaptive infinite impulse response system identification using teacher learner based optimization algorithm
In this paper, optimal coefficients of unknown infinite impulse response (IIR) system are
computed by utilizing a new population based algorithm called teacher learner based …
computed by utilizing a new population based algorithm called teacher learner based …