scholarly journals Physical Parameter Identification Algorithm Modeling for Complex Microsystem via Triangulation Functions

2018 ◽  
Vol 7 (4.36) ◽  
pp. 962
Author(s):  
Elena N. Meshcheryakova ◽  
. .
Keyword(s):  
Parameter Identification ◽  
Physical Parameter ◽  
Delaunay Triangulation ◽  
Model Development ◽  
Physical Object ◽  
Identification Algorithm ◽  
Classification Analysis ◽  
Advantages And Disadvantages ◽  
Object Parameters ◽  
D Model

This article describes the possibility of triangulation function use for the classification, analysis and identification of complex microsystem physical object parameters. They analyzed the existing methods and identification algorithms, their advantages and disadvantages are highlighted. The existing methods of triangulation are considered, the possibility of Delaunay triangulation is described for surfactant signal 3-D model development and analysis. They developed the algorithm to identify the state of an object using the triangulation function that takes into account the change of node coordinates and the length of the triangulation grid edges. They presented the visual UML model. The conclusions are drawn about the possibility of triangulation function use for the analysis of complex microsystem state.  

An improved nonlinear innovation-based parameter identification algorithm for ship models

2021 ◽  
pp. 1-9
Author(s):  
Baigang Zhao ◽  
Xianku Zhang
Keyword(s):  
Parameter Identification ◽  
Test Data ◽  
Stochastic Gradient ◽  
Least Square ◽  
Gradient Algorithm ◽  
Model Parameters ◽  
Identification Algorithm ◽  
Process Innovations ◽  
Stochastic Gradient Algorithm ◽  
Tangent Function

Abstract To solve the problem of identifying ship model parameters quickly and accurately with the least test data, this paper proposes a nonlinear innovation parameter identification algorithm for ship models. This is based on a nonlinear arc tangent function that can process innovations on the basis of an original stochastic gradient algorithm. A simulation was carried out on the ship Yu Peng using 26 sets of test data to compare the parameter identification capability of a least square algorithm, the original stochastic gradient algorithm and the improved stochastic gradient algorithm. The results indicate that the improved algorithm enhances the accuracy of the parameter identification by about 12% when compared with the least squares algorithm. The effectiveness of the algorithm was further verified by a simulation of the ship Yu Kun. The results confirm the algorithm's capacity to rapidly produce highly accurate parameter identification on the basis of relatively small datasets. The approach can be extended to other parameter identification systems where only a small amount of test data is available.

scholarly journals La PUISIFY The Form of Application-Based Poetry Learning Media SAC.2.0 on Android

2019 ◽  
Vol 3 (2) ◽  
pp. 334-336
Author(s):  
Dewi Kusumaningsih ◽  
Bety Ayu Windi Ariyanto ◽  
Haryanti Budi Utami ◽  
Krisna Adi Ismaya
Keyword(s):  
Secondary Schools ◽  
Research And Development ◽  
Language Learning ◽  
Instrument Development ◽  
Model Development ◽  
Language And Literature ◽  
New Learning ◽  
Power Point ◽  
D Model ◽  
Bahasa Indonesia

The study highlights the development of poetry learning instrument using  Smart Application Creator (SAC) 2.0 program for Android. The study belongs to a Research and Development (RnD). The initial exploration included the observation of the Indonesian Language learning instrument utilized by a number of secondary schools which are the former education institutions of the students of Indonesian Language and Literature Department (PBSI) of University of Veteran Bangun Nusantara Sukoharjo. The result of observation became the underlying framework for the development of poetry learning instrument through the SAC 2.0 program for Android. The design of the learning instrument development refered to the four-D model development that consists of four stages, including define, design, develop, and disseminate. The development model was firstly developed by Thiagarajan, dkk. The findings revealed that Android-based learning instrument had yet been massively utilized for secondary schools. Most of the teachers still rely on the PowerPoint presentation which is displayed through the projector. The development of the learning instrument that refers to the 4D stages has successfully provided an innovative Android-based poetry learning instrument. The instrument has also been disseminated publicly. The new learning instrument is easy in its installation and application through Android devices.   Keywords: android, learning instrument, poetry instrument, smart application creator 2.0.   Abstrak   Penelitian ini mengangkat pengembangan media pembelajaran puisi dengan menggunakan program Smart Aplication Creator 2.0 berbasis andoid. Bentuk penelitian adalah Research and Development (RnD). Eksplorasi awal dengan pengamatan penggunaan media pembelajaran Bahasa Indonesia di SMA-SMA alumni para mahasiswa Progdi Pendidikan Bahasa dan Sastra Indonesia (PBSI) FKIP Universitas Veteran Bantara. Hasil pengamatan dipakai sebagai dasar pengembangan media pembelajaran bahasa Indonesia khususnya puisi dengan aplikasi SAC 2.0 di android. Model pengembangan dalam merancang dan membuat media pembelajaran puisi berbasis android ini  menggunakan model pengembangan four-D models yang terdiri dari 4 tahap yaitu Define (pendefinisian), Design (perancangan), Develop (pengembangan) dan Dessiminate (penyebaran). Model pengembangan ini dikembangkan oleh Thiagarajan, dkk. Hasil penelitian menunjukkan bahwa media pembelajaran berbasis andriod di SMA belum digunakan. Guru masih menggunakan media pembelajaran power point serta proyektor saja. Proses pengembangan model media pembelajaran dilakukan sesuai 4 langkah D berhasil membuat inovasi media pembelajaran puisi berbasis adroid yang sudah diseminasikan pada publik. Model media pembelajaran ini mudah diinstal dan diaplikasikan di telepon genggam berbasis android.   Kata kunci: andriod,  media pembelajaran, media puisi, smart aplication creator 2.0.

scholarly journals ONLINE PARAMETER IDENTIFICATION OF RICE TRANSPLANTER MODEL BASED ON IPSO-EKF ALGORITHM

2020 ◽  
Vol 61 (2) ◽  
pp. 25-34 ◽  
Author(s):  
Yibo Li ◽  
Hang Li ◽  
Xiaonan Guo
Keyword(s):  
Parameter Identification ◽  
Measured Data ◽  
Model Parameters ◽  
Identification Algorithm ◽  
Output Data ◽  
Swarm Optimization ◽  
Model Based ◽  
Simulation Results ◽  
Filtering Effect ◽  
Ipso Algorithm

In order to improve the accuracy of rice transplanter model parameters, an online parameter identification algorithm for the rice transplanter model based on improved particle swarm optimization (IPSO) algorithm and extended Kalman filter (EKF) algorithm was proposed. The dynamic model of the rice transplanter was established to determine the model parameters of the rice transplanter. Aiming at the problem that the noise matrices in EKF algorithm were difficult to select and affected the best filtering effect, the proposed algorithm used the IPSO algorithm to optimize the noise matrices of the EKF algorithm in offline state. According to the actual vehicle tests, the IPSO-EKF was used to identify the cornering stiffness of the front and rear tires online, and the identified cornering stiffness value was substituted into the model to calculate the output data and was compared with the measured data. The simulation results showed that the accuracy of parameter identification for the rice transplanter model based on the IPSO-EKF algorithm was improved, and established an accurate rice transplanter model.

scholarly journals Payload Parameter Identification of a Flexible Space Manipulator System via Complex Eigenvalue Estimation

2020 ◽  
Vol 2020 ◽  
pp. 1-17 ◽  
Author(s):  
Zhiyu Ni ◽  
Shunan Wu ◽  
Yewei Zhang ◽  
Zhigang Wu
Keyword(s):  
Parameter Identification ◽  
Least Squares ◽  
State Space Model ◽  
Recursive Least Squares ◽  
Mode Shapes ◽  
Identification Algorithm ◽  
Complex Eigenvalue ◽  
Nonlinear Dynamic Model ◽  
Space Manipulator ◽  
Affine Projection

Manipulator systems are widely used in payload capture and movement in the ground/space operation due to their dexterous manipulation capability. In this study, a method for identifying the payload parameters of a flexible space manipulator using the estimated system of complex eigenvalue matrix is proposed. The original nonlinear dynamic model of the manipulator is linearized at a selected working point. Subsequently, the system state-space model and corresponding complex eigenvalue parameters are determined by the observer/Kalman filter identification algorithm using the torque input signal of the motor and the vibration output signals of the link. Therefore, the inertia parameters of the payload, that is, the mass and the moment of inertia, can be derived from the identified complex eigenvalue system and mode shapes by solving a least-squares problem. In numerical simulations, the proposed parameter identification method is implemented and compared with the classical recursive least-squares and affine projection sign algorithms. Numerical results demonstrate that the proposed method can effectively estimate the payload parameters with satisfactory accuracy.

Physical-Parameter Identification of Base-Isolated Buildings Using Backbone Curves

2009 ◽  
Vol 135 (9) ◽  
pp. 1107-1114 ◽  
Author(s):  
Ming-Chih Huang ◽  
Yen-Po Wang ◽  
Jer-Rong Chang ◽  
Yi-Hsuan Chen
Keyword(s):  
Parameter Identification ◽  
Physical Parameter ◽  
Backbone Curves
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