The Problems of Competence Approach

2016 ◽  
pp. 31-43
Author(s):  
Vladimir Zelichenko ◽  
Irina Bushueva
Keyword(s):  
Detailed Analysis ◽  
Sliding Mode ◽  
Learning Systems ◽  
Main Attention ◽  
Mathematical Formula ◽  
Educational Standard ◽  
E Learning ◽  
Estimation And Control ◽  
And Control

In this chapter the authors consider the problems of competence approach, the estimation and the control in world E-Learning Systems. The main attention is on the problem of the formation of evaluation competencies. We consider detailed examples showing how, at a certain stage, learning can be assessed in varying levels of competence. Based on a detailed analysis of the educational standard and assessment of proposed methodology, the authors formalize this assessment and express it by a mathematical formula. The problems of estimation and control are proposed to be solved using feedback based on sliding mode by Prof. Vardan Mkrttchian.

The Estimation and Control in E-Learning Systems

2016 ◽  
pp. 615-625
Author(s):  
Tatiana Ananeva ◽  
Yuri Kudrov
Keyword(s):  
Learning Systems ◽  
E Learning ◽  
Solid Foundation ◽  
Estimation And Control ◽  
And Control

The Estimation and Control in E-Learning Systems are based on the well-known idea that they are Techniques. In this chapter, the authors pose a broader question: are they Technique or Technology? The chapter analyses last publications by Prof. Vardan Mkrttchian and Dr. Azat Khannanov on this question. The chapter moves out and proves that the two discussed terms mark different approaches to E-Learning Systems. In this chapter to substantiate this thesis, the authors are to review these terms in their basic values. In this way it is possible to rely on a solid foundation of concepts “technology” and “method” and draw conclusions for the comprehension of the processes directly in the field of education.

Design of the E-Systems for Training and Researching With Tools of Cloud Services-Based Stereo and 3D Content

2018 ◽  
pp. 733-745
Author(s):  
Javad Avetisyan ◽  
Alexander Bozhday ◽  
Natalia Novikova ◽  
Jana Kochetkova
Keyword(s):  
Sliding Mode ◽  
Cloud Services ◽  
State University ◽  
Master's Program ◽  
The Real Estate ◽  
Russian State ◽  
E Learning ◽  
Multimedia Technologies ◽  
Estimation And Control ◽  
3D Content

The purpose of this chapter is to discuss the development of the tools for cloud services, which allow to organize mass production of multimedia interactive online services of the Real Estate for consumers from around the world, based on stereo and 3D-content and on the organizational model where content (text, pictures, video, animation, tests, etc.) are prepared by professionals from Penza State University, Russian State University for Tourism and Services and HHH University, and the automated assembly output, including its localization (translation) to other languages with the aim of exporting them via the Internet, provides the instrumental software package of Multimedia Technologies Ltd. The E-Systems is using in the academic master's program, developed by the Russian State University for Tourism and Service. This Master's Program is international and is based on E-Learning Systems, uses the techniques, software and technology of Estimation and Control in Sliding Mode by Prof. Vardan Mkrttchian.

The Real Estate Service Activities Using E-Learning

2016 ◽  
pp. 471-484
Author(s):  
Natalija Platonova ◽  
Svetlana Muminova
Keyword(s):  
Real Estate ◽  
Public Relations ◽  
Sliding Mode ◽  
Industrial Relations ◽  
Town Planning ◽  
Master's Program ◽  
The Real ◽  
The Real Estate ◽  
E Learning ◽  
Estimation And Control

The Real Estate Service is one of the most profitable businesses in the world. It is this fact that attracts many people to try their hand at this area. Obviously it is rather complex subject to deal with. There is a number of disciplines to be studied to provide efficient development. These are some of them: Architecture, Engineering, Public Relations, Industrial Relations, Property Finance, Property Law, Construction, Accountancy, General Management, Sales and Marketing, Communications, Town Planning, Valuation, Quantity Surveying, Land Surveying, etc. In this chapter the authors suggest a way to overcome the modern challenges in the service of real estate by means of the academic master's program developed by the Russian State University for Tourism and Service. The Master's Program is international and is based on E-Learning Systems. It also uses the author's and by Prof. Vardan Mkrttchian (Mkrttchian, 2011, 2012, 2015) techniques, software and technology of Estimation and Control in Sliding Mode.

Robust Sensors-Fault-Tolerance With Sliding Mode Estimation and Control for PMSM Drives

2018 ◽  
Vol 23 (1) ◽  
pp. 17-28 ◽  
Author(s):  
Suneel Kumar Kommuri ◽  
Sang Bin Lee ◽  
Kalyana Chakravarthy Veluvolu
Keyword(s):  
Fault Tolerance ◽  
Sliding Mode ◽  
Mode Estimation ◽  
Estimation And Control ◽  
And Control

Sliding Mode Control Techniques in E-Learning Systems

2016 ◽  
pp. 78-95
Author(s):  
I. Boiko ◽  
H. Hussein ◽  
A. Al Durra
Keyword(s):  
Sliding Mode Control ◽  
Dynamic Models ◽  
Sliding Mode ◽  
Variable Structure ◽  
Optimal Level ◽  
Learning Systems ◽  
Variable Structure Systems ◽  
Control Techniques ◽  
Mode Control ◽  
E Learning

Perspectives of using sliding mode control in e-learning are discussed. The concepts of variable structure systems and sliding mode control are given. Analysis of convergence based on the second Lyapunov's method is presented. The analysis presented is based on the dynamic models of learning available in the literature. The suitability of the use of sliding mode to adaptation of level of challenge of the tasks in e-learning is demonstrated. It is shown that with frequent enough evaluation of tasks, optimal level of task challenge can be ensured.

Design of the E-Systems for Training and Researching with Tools of Cloud Services-Based Stereo and 3D Content

2016 ◽  
pp. 376-388 ◽  
Author(s):  
Javad Avetisyan ◽  
Alexander Bozhday ◽  
Natalia Novikova ◽  
Jana Kochetkova
Keyword(s):  
Sliding Mode ◽  
Cloud Services ◽  
State University ◽  
Master's Program ◽  
The Real Estate ◽  
Russian State ◽  
E Learning ◽  
Multimedia Technologies ◽  
Estimation And Control ◽  
3D Content

The purpose of this chapter is to discuss the development of the tools for cloud services, which allow to organize mass production of multimedia interactive online services of the Real Estate for consumers from around the world, based on stereo and 3D-content and on the organizational model where content (text, pictures, video, animation, tests, etc.) are prepared by professionals from Penza State University, Russian State University for Tourism and Services and HHH University, and the automated assembly output, including its localization (translation) to other languages with the aim of exporting them via the Internet, provides the instrumental software package of Multimedia Technologies Ltd. The E-Systems is using in the academic master's program, developed by the Russian State University for Tourism and Service. This Master's Program is international and is based on E-Learning Systems, uses the techniques, software and technology of Estimation and Control in Sliding Mode by Prof. Vardan Mkrttchian.

scholarly journals Development of Online Adaptive Traction Control for Electric Robotic Tractors

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3394
Author(s):  
Idris Idris Sunusi ◽  
Jun Zhou ◽  
Chenyang Sun ◽  
Zhenzhen Wang ◽  
Jianlei Zhao ◽  
...  
Keyword(s):  
Friction Coefficient ◽  
Sliding Mode ◽  
Interpolation Method ◽  
Field Tests ◽  
Soil Disturbance ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Optimal Values ◽  
Estimation And Control ◽  
And Control

Estimation and control of wheel slip is a critical consideration in preventing loss of traction, minimizing power consumptions, and reducing soil disturbance. An approach to wheel slip estimation and control, which is robust to sensor noises and modeling imperfection, has been investigated in this study. The proposed method uses a simplified form of wheels longitudinal dynamic and the measurement of wheel and vehicle speeds to estimate and control the optimum slip. The longitudinal wheel forces were estimated using a robust sliding mode observer. A straightforward and simple interpolation method, which involves the use of Burckhardt tire model, instantaneous values of wheel slip, and the estimate of longitudinal force, was used to determine the optimum slip ratio that guarantees maximum friction coefficient between the wheel and the road surface. An integral sliding mode control strategy was also developed to force the wheel slip to track the desired optimum value. The algorithm was tested in Matlab/Simulink environment and later implemented on an autonomous electric vehicle test platform developed by the Nanjing agricultural university. Results from simulation and field tests on surfaces with different friction coefficients (μ) have proved that the algorithm can detect an abrupt change in terrain friction coefficient; it can also estimate and track the optimum slip. More so, the result has shown that the algorithm is robust to bounded variations on the weight on the wheels and rolling resistance. During simulation and field test, the system reduced the slip from non-optimal values of about 0.8 to optimal values of less than 0.2. The algorithm achieved a reduction in slip ratio by reducing the torque delivery to the wheel, which invariably leads to a reduction in wheel velocity.

scholarly journals A Novel Adaptive Speed Observer Using Neural Network and Sliding-Mode for SPIM Drives

2020 ◽  
Vol 7 ◽  
Keyword(s):  
Neural Network ◽  
Sliding Mode ◽  
Speed Control ◽  
Speed Estimation ◽  
Adaptive Model ◽  
Stator Current ◽  
Rotor Flux ◽  
Flux Estimation ◽  
Estimation And Control ◽  
And Control

In this paper, a novel Stator Current Based Model Reference Adaptive System (SC_MRAS) speed estimation scheme using neural network (NN) and Sliding Mode (SM) is proposed to improve the performance of the MRAS speed observer for high-performance Six Phases Induction Motor (SPIM) drives, especially at low and zero speed region, where the poor performance of observers is still always a large challenge. In this novel SC_MRAS scheme, a two-layer linear NN, which has been trained online by means of the Total Least Squares (TLS) algorithm, is used as an adaptive model to estimate the stator current and this model is employed in prediction mode. These novel proposed can ensure that the whole drive system achieves faster satisfactory torque and speed control and strong robustness, the observer operate better accuracy and stability both in transient and steady-state operation. Especially, in this proposed observer, the rotor flux, which is needed for the stator current estimation of the adaptive model and providing to the controller, is identified based on adaptive SM technique. The improvement of Rotor Flux Estimation for SC_MRAS-Based Sensorless SPIM Drives help to eliminate the disadvantages in SC_MRAS based observer such as stator resistance sensitivity, and flux open loop integration which may cause dc drift and initial condition problems or instability in the regenerating mode of operation, therefore, enhancing the rotor flux estimation, speed estimation and control accuracy at very low and zero stator frequency operation help improve the overall observer and drive system performance. The indirect field oriented control (IFOC) for speed control of a sensorless SPIM drive using the proposed observer is built by MATLAB/ Simulink. The simulation results are presented under sensorless speed control performance to validate the effectiveness of the proposed estimation and control algorithms.

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