Observer-Based Fuzzy l2-l∞ Control for Discrete-Time Nonlinear Systems
In this article, an observer-based <inline-formula><tex-math notation="LaTeX">l_{2}</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">l_\infty</tex-math></inline-formula> performance analysis and controller desi...
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Published in | IEEE transactions on fuzzy systems Vol. 32; no. 4; pp. 2523 - 2528 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.04.2024
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Subjects | |
Online Access | Get full text |
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Summary: | In this article, an observer-based <inline-formula><tex-math notation="LaTeX">l_{2}</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">l_\infty</tex-math></inline-formula> performance analysis and controller design problem is proposed for a category of discrete-time nonlinear control systems. First of all, the closed-loop system with external disturbance in both state and output variables under consideration is represented as a discrete-time Takagi-Sugeno (T-S) fuzzy model and is described by the descriptor representation method. Subsequently, a new Lyapunov function is suggested that satisfies the prescribed <inline-formula><tex-math notation="LaTeX">l_{2}</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">l_\infty</tex-math></inline-formula> performance while ensuring stability. The application of the linear matrix inequality technique is employed to establish an analysis criterion for the <inline-formula><tex-math notation="LaTeX">l_{2}</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">l_\infty</tex-math></inline-formula> performance. By defining the structure of matrix variables, new design conditions of observer-based <inline-formula><tex-math notation="LaTeX">l_{2}</tex-math></inline-formula>-<inline-formula><tex-math notation="LaTeX">l_\infty</tex-math></inline-formula> controller are given. Ultimately, an instance demonstrates the effectiveness of the proposed controller design criterion. |
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ISSN: | 1063-6706 |
DOI: | 10.1109/TFUZZ.2023.3348231 |