scholarly journals NEW METHOD FOR CONSTRUCTION OF OPTIMAL SCALAR QUANTIZERS FOR LAPLACIAN SOURCE

2014 ◽  
pp. 50-54
Author(s):  
Zoran Peric ◽  
Jelena Nikolic ◽  
Dragoljub Pokrajac
Keyword(s):  
Approximation Method ◽  
New Method ◽  
Optimal Parameters ◽  
Optimal Values ◽  
Transcendental Equations ◽  
Scalar Quantizers

In this paper we consider methods for computing the necessary parameters when constructing the optimal scalar quantizers for Laplacian source. We investigate two approaches to the problem of finding the sets of optimal parameters. The first approach requires solving the transcendental equations, but provides nearly optimal values of the scalar quantizers’ parameters on successive manner. The proposed approach is an approximation method that linearizes transcendental equations providing simple and fast computing of scalar quantizers’ parameters. We demonstrate that the proposed technique provides parameters values that are very close to the optimal ones.

Justification of design parameters of the fractional reaping conveyor and its devices for removal of beveled stems from under the wheels of the vehicle

2019 ◽  
Vol 1 (3) ◽  
pp. 1-10
Author(s):  
Mikhail M. Konstantinov ◽  
Ivan N. Glushkov ◽  
Sergey S. Pashinin ◽  
Igor I. Ognev ◽  
Tatyana V. Bedych
Keyword(s):  
Optimal Design ◽  
Technological Process ◽  
Design Parameters ◽  
Theoretical Studies ◽  
Optimal Parameters ◽  
Belt Conveyor ◽  
Grain Crops ◽  
Mode Of Operation ◽  
Optimal Values ◽  
Main Component

In this paper we consider the structural and technological process of the combine used in the process of separate harvesting of grain crops, as well as a number of its parameters. Among the main units of the combine, we allocate a conveyor and devices for removing beveled stems from under the wheels of the vehicle. The principle of operation of the conveyor at different phases of the Reaper and especially the removal of cut stems from under the wheels of the vehicle during operation of the Reaper. The results of theoretical studies on the establishment of the optimal design of the parameters of the belt conveyor are presented, the ranges of their optimal values are considered and determined. Studies on the establishment of optimal parameters of the screw divider in the Reaper, which is the main component of the device for removal of beveled stems, are presented. Taking into account the optimal design and mode of operation of the screw divider, the correct work is provided to remove the cut stems from under the wheels of the harvester.

Performance Analysis for a Gantry Crane System (GCS) Using Priority-Based Fitness Scheme in Binary Particle Swarm Optimization

2014 ◽  
Vol 903 ◽  
pp. 285-290 ◽  
Author(s):  
Hazriq Izzuan Jaafar ◽  
Zaharuddin Mohamed ◽  
Amar Faiz Zainal Abidin ◽  
Zamani Md Sani ◽  
Jasrul Jamani Jamian ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Steady State ◽  
Control Structure ◽  
Lagrange Equation ◽  
Particle Swarm ◽  
New Method ◽  
Gantry Crane ◽  
Binary Particle Swarm Optimization ◽  
Optimal Parameters ◽  
Swarm Optimization

This paper presents development of an optimal PID and PD controllers for controlling the nonlinear Gantry Crane System (GCS). A new method of Binary Particle Swarm Optimization (BPSO) algorithm that uses Priority-based Fitness Scheme is developed to obtain optimal PID and PD parameters. The optimal parameters are tested on the control structure to examine system responses including trolley displacement and payload oscillation. The dynamic model of GCS is derived using Lagrange equation. Simulation is conducted within Matlab environment to verify the performance of the system in terms of settling time, steady state error and overshoot. The result not only confirmed the successes of using new method for GCS, but also shows the new method performs more efficiently compared to the continuous PSO. This proposed technique demonstrates that implementation of Priority-based Fitness Scheme in BPSO is effective and able to move the trolley as fast as possible to the desired position with low payload oscillation.

Aerodynamic Forces Approximations Calculated With a New Analytical Formulation

2006 ◽  
Author(s):  
Djallel Eddine Biskri ◽  
Ruxandra Mihaela Botez
Keyword(s):  
Least Squares ◽  
Frequency Domain ◽  
Approximation Method ◽  
Unsteady Aerodynamics ◽  
Analytical Form ◽  
New Method ◽  
Aerodynamic Forces ◽  
Laplace Domain ◽  
Analytical Formulation ◽  
Multidisciplinary Study

Aeroservoelasticity is a multidisciplinary study of three main disciplines: unsteady aerodynamics, aeroelasticity and servo-controls. Two classical methods are used in the literature to approximate the unsteady generalized forces from the frequency domain Q (k) to the Laplace domain Q(s) and these methods are: the Least Squares LS and the Minimum State MS. In the present paper, we present a new method, called Corrected Minimum State (CMS), based on the Standard MS approximation method. This new CMS method uses an analytical form of the error as function of Laplace variable similar to the analytical form of the aerodynamic forces calculated with the MS method. We applied this new method to an F/A-18 aircraft and we found that the CMS method brings improvements in the approximation results in comparison with the standard MS method. It is shown that use of the CMS method on an F/A-18 aircraft will give better results in terms of convergence speeds and precision than the MS method.

On Categorical Scales of Weight

1967 ◽  
Vol 24 (1) ◽  
pp. 143-150 ◽  
Author(s):  
Yoshihisa Tanaka ◽  
Kazuo Nakatani
Keyword(s):  
Approximation Method ◽  
New Method ◽  
Categorical Judgment ◽  
Subjective Weight ◽  
The Law ◽  
The Relationship

The law of categorical judgment was applied to data on subjective weight in order to eliminate the possible biases. Conditions D, C, and a new approximation method were used. Stimuli were two series of plastic cylinders weighing 40 to 200 gm. The results indicate that linearity in the relationship between scale values R and stimulus values S increases as the number of assumptions decreases. When Scheffé's method is used, the relationship can be given by R = 2.5 S − 3.1, which is similar to that obtained by the new method of the law of categorical judgment.

New method of approximate solution of nonlinear algebraic and transcendental equations

2017 ◽  
Vol 1 (64) ◽  
pp. 203-214
Author(s):  
Nikolay Babaev ◽  
◽  
Georgiy Molotkov ◽  
Margarita Shvec ◽  
◽  
...  
Keyword(s):  
Approximate Solution ◽  
New Method ◽  
Transcendental Equations

Study on Spunlaced Nonwoven Fabric’s Moisture Absorption and Permeability Based on BP Network

2011 ◽  
Vol 331 ◽  
pp. 23-26 ◽  
Author(s):  
Xiong Hua Wu ◽  
Jian Chi Lv ◽  
Xiao Ning Jiao
Keyword(s):  
Computer Simulation ◽  
Surface Density ◽  
Moisture Absorption ◽  
Nonwoven Fabric ◽  
Optimal Parameters ◽  
Bp Network ◽  
Future Production ◽  
Optimal Values ◽  
Set Up ◽  
Maximum Permeability

Using BP neural network, a predictive model has been set up between the parameters of spunlaced nonwoven fabric and its two important performances which were the moisture permeability and absorption. The results showed the model was very ideal. Based on this, various parameters corresponding to the optimal values were obtained through computer simulation, that while the viscose content was 80% and the surface density was 58g/m2, the maximum permeability was 6627.3 g/m2. d and the horizontal moisture absorption also reached the maximum of 22.41cm. While the viscose content was100% and the surface density was 68g/m2, the vertical moisture absorption reached the maximum of 19.1429cm. In the end, the PCA was used to integrate the three properties into one target and the optimal parameters were also obtained, which viscose content was 80 % and surface density was 58g/m2 .Besides, according to the method of the computer simulation, a variety of different spunlaced nonwovens also can be obtained to meet different needs, which could be a reference in the future production and experiments.

scholarly journals Finding the Optimal Parameters for Robotic Manipulator Applications of the Bounded Error Algorithm for Iterative Learning Control

2017 ◽  
Vol 47 (4) ◽  
pp. 3-11 ◽  
Author(s):  
Kaloyan Yovchev
Keyword(s):  
Computer Simulation ◽  
Iterative Learning Control ◽  
Robotic Manipulators ◽  
Learning Control ◽  
Robotic Manipulator ◽  
Iterative Learning ◽  
Optimal Parameters ◽  
Manipulator Arm ◽  
Bounded Error ◽  
Optimal Values

Abstract This paper continues previous research of the Bounded Error Algorithm (BEA) for Iterative Learning Control (ILC) and its application into the control of robotic manipulators. It focuses on investigation of the influence of the parameters of BEA over the convergence rate of the ILC process. This is performed first through a computer simulation. This simulation suggests optimal values for the parameters. Afterwards, the estimated results are validated on a physical robotic manipulator arm. Also, this is one of the first reports of applying BEA into robots control.

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