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Predictive Control for Takagi–Sugeno Fuzzy Large-Scale Networked Control Systems.
- Source :
- International Journal of Fuzzy Systems; Jun2024, Vol. 26 Issue 4, p1107-1119, 13p
- Publication Year :
- 2024
-
Abstract
- In this paper, the issue of exponential stabilization and sampled-data controller design for Takagi–Sugeno fuzzy large-scale networked control systems is studied by using the reduction-based ordinary differential equation prediction method. For the problem that matrices cannot be multiplied directly during the process of designing the sampled-data controller in this paper, a matrix dimensional transformation method is proposed. Firstly, a type of two-sided mode-dependent loop-based Lyapunov–Krasovskii functional is constructed, which compensates for the large delay and makes fuller use of the information in sampled-data interval. Secondly, the proposed method is used to give the design scheme of an aperiodic sampled-data controller, and furthermore, an iterative algorithm to verify the effectiveness of the requested control gains is provided. Finally, two coupled vehicle pendulum systems and two-area interconnected power systems are applied to demonstrate the efficiency of the presented approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15622479
- Volume :
- 26
- Issue :
- 4
- Database :
- Supplemental Index
- Journal :
- International Journal of Fuzzy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 177559221
- Full Text :
- https://doi.org/10.1007/s40815-023-01636-5