IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Robust Control Methods for Finite Time Synchronization of Uncertain Nonlinear Systems

Robust Control Methods for Finite Time Synchronization of Uncertain Nonlinear Systems
View Sample PDF
Author(s): Kammogne Soup Soup Tewa Alain (University of Dschang, Cameroon)and Fotsin Hilaire Bertrand (University of Dschang, Cameroon)
Copyright: 2021
Pages: 35
Source title: Handbook of Research on Modeling, Analysis, and Control of Complex Systems
Source Author(s)/Editor(s): Ahmad Taher Azar (Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt & College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia)and Nashwa Ahmad Kamal (Faculty of Engineering, Cairo University, Giza, Egypt)
DOI: 10.4018/978-1-7998-5788-4.ch015

Purchase

View Robust Control Methods for Finite Time Synchronization of Uncertain Nonlinear Systems on the publisher's website for pricing and purchasing information.

Abstract

This chapter addresses the dynamic analysis and two different control strategies for the synchronization of new topology of Colpitts oscillator submitted to uncertainties and external disturbances. The diagrams obtained reveal precisely spirals bifurcation and chaos when for a specific values of the system parameters. Based on the relevant control, the authors have controlled this striking phenomenon in the system. The first (control) deals with the sliding mode control (SMC) method. Some important aspects of the design and implementation are considered to reach a suitable controller for the applications. The second presents an adaptive robust tracking control strategy based on a modified polynomial observer which tends to follow exponentially the chaotic Colpitts circuits brought back to a topology of the Chua oscillator with perturbations. To highlight the contribution, they also present some simulation results with the purpose to compare the proposed method to the classical polynomial observer.

Related Content

David Zelinka, Bassel Daher. © 2021. 30 pages.
David Zelinka, Bassel Daher. © 2021. 29 pages.
Narendranath Shanbhag, Eric Pardede. © 2021. 31 pages.
Marc Haddad, Rami Otayek. © 2021. 20 pages.
Reem A. ElHarakany, Alfredo Moscardini, Nermine M. Khalifa, Marwa M. Abd Elghany, Mona M. Abd Elghany. © 2021. 23 pages.
Sanjay Soni, Basant Kumar Chourasia. © 2021. 35 pages.
Lina Carvajal-Prieto, Milton M. Herrera. © 2021. 20 pages.
Body Bottom