CIE Dept presents Seminar on " Design of MRC Based on EID Estimator with APETM for Time-Varying Delay Nonlinear Systems via T-S Fuzzy Model "

Speaker:

Mr. Mohamed Soliman
Ph.D. Student
Control and Instrumentation Engineering Department

King Fahd University of Petroleum and Minerals

Dhahran, Saudi Arabia

Date: Wednesday: 27 November, 2024
Time: 2:00 p.m.
Location: 22-134

Abstract:

This seminar addresses the problems of disturbance rejection and periodic signal tracking for a class of time-varying delay nonlinear systems subjected to unknown exogenous disturbances. To approximate the nonlinearity of the system, a Takagi-Sugeno (T-S) fuzzy model has been used. The proposed modified repetitive controller (MRC) scheme based on the equivalent-input-disturbance (EID) estimator improves the performance of periodic and aperiodic unknown disturbances rejection effectively and achieves good tracking performance for periodic references. Furthermore, an adaptive periodic event-triggered mechanism-based fuzzy state observer (APETM-FSO) has been utilized to reduce data transmission, energy consumption, and computational burden, save the resources of communication. With the help of a designed adaptive event triggering condition, the APETM can detect the event occurrence, which is described by exceeding the error signal to a predetermined threshold. In order to achieve the stability of the overall system subjected to unknown disturbances, sufficient conditions based on the Lyapunov–Krasovskii functional stability theory and linear matrix inequalities (LMIs) are derived. In addition, the FSO and fuzzy state feedback controller gains are designed using the LMI approach. Simulation results with comparative study are presented to demonstrate the effectiveness and feasibility of the proposed scheme.

Speaker Bio:

Mr. Mohamed Soliman received his Bachelor’s and Master’s degrees in Automatic Control Engineering from Menoufia University, Egypt, in 2015 and 2021, respectively. Currently, he is pursuing his Ph.D. Degree in Systems and Control Engineering in the Control and Instrumentation Engineering Department at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, and holds a position as a Teaching Assistant in the same department. His research focus encompasses intelligent control systems, robust control, adaptive control, optimization algorithms, and nonlinear control systems.

All Faculty, Researchers, and Graduate Students are invited to attend.