The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Sliding Mode Control Techniques in E-Learning Systems
|
Author(s): I. Boiko (The Petroleum Institute, UAE), H. Hussein (The Petroleum Institute, UAE)and A. Al Durra (The Petroleum Institute, UAE)
Copyright: 2016
Pages: 18
Source title:
Handbook of Research on Estimation and Control Techniques in E-Learning Systems
Source Author(s)/Editor(s): Vardan Mkrttchian (HHH University, Australia), Alexander Bershadsky (Penza State University, Russia), Alexander Bozhday (Penza State University, Russia), Mikhail Kataev (Tomsk State University of Control System and Radio Electronics, Russia & Yurga Institute of Technology (Branch) of National Research Tomsk Polytechnic University, Russia)and Sergey Kataev (Tomsk State Pedagogical University, Russia)
DOI: 10.4018/978-1-4666-9489-7.ch007
Purchase
|
Abstract
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.
Related Content
Marlett Jasmin Blas Rivera.
© 2024.
24 pages.
|
Mario Muñoz Mercado.
© 2024.
31 pages.
|
Tahir Iqbal.
© 2024.
31 pages.
|
Nadim Akhtar Khan.
© 2024.
20 pages.
|
Sandra Viridiana Cortés Ruiz.
© 2024.
26 pages.
|
María Elena Zepeda Hurtado, Claudia Angélica Membrillo Gómez, Francisco Javier Arias Candanosa.
© 2024.
23 pages.
|
Renu Prajapati, Sandhya Gupta.
© 2024.
29 pages.
|
|
|