November 22, 2024
Abolhassan Razminia

Abolhassan Razminia

Academic Rank: Associate professor
Address:
Degree: Ph.D in Electrical Engineering: Control Systems Engineering
Phone: 07731222164
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Improved Robust Adaptive Control Law for a Class of Uncertain Nonlinear Systems and Its Application to Chaotic Systems
Type Article
Keywords
Journal Iranian Journal of Science and Technology-Transactions of Electrical Engineering
DOI
Researchers Valiollah Ghaffari (First researcher) , Abolhassan Razminia (Second researcher) ,

Abstract

An adaptive robust control scheme is proposed for a class of unknown nonlinear systems. For achieving this purpose, a class of uncertain nonlinear systems is firstly considered. Then, the regulation and tracking problems are solved with the well- known Lyapunov stability theory. It is shown that although the system dynamic may not be fully or partially known, some adaptive control laws can be mathematically derived by using the proposed control method. Hence, by the proposed control method, the closed-loop system would be globally stabilized in the sense of the Lyapunov stability theory. Finally, the pro- posed robust adaptive control law is numerically applied into the Lorenz and Van der Pol chaotic systems. The effciency of the suggested approach is shown by numerical simulation via comparison with an existing method.