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A Delayed Takagi--Sugeno Fuzzy Control Approach With Uncertain Measurements using an Extended Sliding Mode Observer.

Aslam, M. S., Tiwari, P., Pandey, H. M., Band, S. S. and El Sayed, H., 2023. A Delayed Takagi--Sugeno Fuzzy Control Approach With Uncertain Measurements using an Extended Sliding Mode Observer. Information Sciences, 643, 119204.

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DOI: 10.1016/j.ins.2023.119204

Abstract

In this study, a sliding mode observer (SMO) is implemented on a T–S fuzzy system with multiple time–varying delays over continuous time. Because state data may not be fully available in practice, state observers are used to estimate state information. A system based on observers is implemented with non–parallel distribution compensation (N-PDC). Moreover, the concept of dissipative control provides a framework for analyzing the performance of H∞, L2 − L∞, and dissipativeness. In order to design two sliding surfaces using the SMO gain matrix, first two integral–type sliding surfaces must be constructed. Then, we define a few additional parameters using fuzzy Lyapunov stability and SMO theory, resulting in asymptotically stable closed–loop performances. On the basis of the new error system, convex optimization is used to generate the sliding mode controller and the gained weight matrices. Following is an example of the power system (ship electric propulsion) to demonstrate the potential scheme.

Item Type:Article
ISSN:0020-0255
Uncontrolled Keywords:Fuzzy Lyapunov–Krasovskii Functions; Sliding mode control; Time–delay system; Dissipative analysis
Group:Faculty of Science & Technology
ID Code:38625
Deposited By: Symplectic RT2
Deposited On:05 Jun 2023 14:16
Last Modified:25 May 2024 01:08

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