Search Results - (( data identification using algorithm ) OR ( parallel optimization system algorithm ))
Search alternatives:
- parallel optimization »
- identification using »
- data identification »
- optimization system »
- system algorithm »
- using algorithm »
-
1
Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…It was found from experimentation that the ALAC was able to improve the position control of the parallel manipulator and adjusted the weights according to changing condition and control the system without any changes in the controlling algorithm. …”
Get full text
Get full text
Thesis -
2
Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
Published 2022“…The parameters may vary as environmental conditions change. It requires big data and consumes a long time. This research introduces a developed method for online system identification based on the Hammerstein and Wiener nonlinear block-oriented structure with the artificial neural networks (NN) advantages and recursive weighted least squares algorithm for optimizing neural network learning in real-time. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
System Identification And Control Of Automatic Car Pedal Pressing System For Low-Speed Driving In A Road Traffic Delay
Published 2022“…The system identification is taken from the dynamic behavior of the system and modelled using input-output data acquired directly from the experimental rig. …”
Get full text
Get full text
Undergraduates Project Papers -
4
Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
Get full text
Get full text
Thesis -
5
Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
Published 2023Subjects:Article -
6
-
7
Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
Get full text
Get full text
Thesis -
8
A review of genetic algorithms and parallel genetic algorithms on Graphics Processing Unit (GPU)
Published 2013Get full text
Conference or Workshop Item -
9
A Parallel new high order iterative algorithm on shared memory multiprocessors parallel computer
Published 2004“…In this paper, the parallel implementation of the algorithm with optimal strategy on shared memory multiprocessors (SMP) was presented and discussed. …”
Get full text
Get full text
Get full text
Article -
10
WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
Published 2023“…The algorithm works by finding the minimum transmitter power with the help of Distributed Parallel Genetic Algorithm (DPGA) employed on an offload microcontroller system to form optimal beam coverage to reduce power usage of adaptive antenna at WCDMA base station. …”
Conference paper -
11
A GPGPU Approach to Accelerate Ant Swarm Optimization Rough Reducts (ASORR) Algorithm
Published 2012“…Ant Swarm Optimization Rough Reducts (ASORR) algorithm is used in rough reducts calculation for identifying significant attribute set optimally. …”
Get full text
Get full text
Conference or Workshop Item -
12
Cuckoo search algorithm for sizing optimization in grid-connected photovoltaic system: article / Wan Nur Liyana Wan Abd Rahman
Published 2013“…Cuckoo Search algorithm is a new metaheuristic optimization algorithm that was recently developed by Yang and Deb in year 2009. …”
Get full text
Get full text
Article -
13
Cuckoo search algorithm for sizing optimization in grid-connected photovoltaic system / Wan Nur Liyana Wan Abd Rahman
Published 2013“…Cuckoo Search algorithm is a new metaheuristic optimization algorithm that was recently developed by Yang and Deb in year 2009. …”
Get full text
Get full text
Thesis -
14
PID Parameters Improvement for AGC in Three Parallel-Connected Power Systems
Published 2016“…Integral Square Error (ISE) is considered as an objective function for both algorithms to determine its performance index value for the same parallel-connected power system. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
15
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…Genetic algorithms are powerful optimizing techniques that are used successfully to solve problems in many different disciplines. …”
Conference paper -
16
Optimal placement of static VAR compensator using genetic algorithms
Published 2008“…The developed algorithms have successfully obtained the best solution for optimal placement of SVC in the IEEE 9 buses system and TNB northern area 275kV 14-bus system…”
Get full text
Get full text
Get full text
Article -
17
Development of optimization Alghorithm for uncertain non-linear dynamical system
Published 2004“…An algorithm that definitely can satisfy the objectives is the Dynamic Integrated Systems Optimization and Parameter Estimation (DISOPE) algorithm. …”
Get full text
Get full text
Monograph -
18
-
19
Short-term Gini coefficient estimation using nonlinear autoregressive multilayer perceptron model
Published 2024“…Despite its standard annual computation, impeded by logistical hurdles and the gradual transformation of income inequality, we suggest that short-term forecasting of the Gini coefficient could offer instantaneous comprehension of shifts in income inequality during swift transitions, such as variances due to seasonal employment patterns in the expanding gig economy. System Identification (SI), a methodology utilized in domains like engineering and mathematical modeling to construct or refine dynamic system models from captured data, relies significantly on the Nonlinear Auto-Regressive (NAR) model due to its reliability and capability of integrating nonlinear functions, complemented by contemporary machine learning strategies and computational algorithms to approximate complex system dynamics to address these limitations. …”
Get full text
Get full text
Get full text
Article -
20
An Optimal Design of Moving Objects Tracking Algorithm on FPGA
Published 2012“…This paper presents an optimal design and implementation of hardware system units for tracking moving objects on FPGA. …”
Get full text
Get full text
Conference or Workshop Item
