Stability analysis and decentralized H-infinity control for time-delay fuzzy interconnected systems via fuzzy Lyapunov-Krasovskii functional
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1731 - 1744 |
Journal / Publication | Journal of Intelligent and Fuzzy Systems |
Volume | 26 |
Issue number | 4 |
Publication status | Published - 2014 |
Link(s)
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(eeddcb58-91e2-4b44-bbfb-0d755b7cda97).html |
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Abstract
This paper is concerned with the stability analysis and H-infinity fuzzy controller design of continuous-time fuzzy interconnected systems with time-varying delays. The fuzzy interconnected system consists of N interconnected time-delay Takagi-Sugeno(T-S) fuzzy subsystems and the delay-dependent stability analysis is based on the fuzzy weighting-dependent Lyapunov-Krasovskii functionals. It is shown that the delay-dependent stability of the time-delay fuzzy interconnected systems can be established if a fuzzy weighting-dependent Lyapunov-Krasovskii functional can be constructed, and moreover, the functional can be obtained by solving a set of linear matrix inequalities (LMIs) that are numerically feasible. The decentralized H-infinity controllers are also designed by solving a set of LMIs based on these fuzzy weighting-dependent Lyapunov-Krasovskii functionals. It is demonstrated via numerical examples that the stability and controller synthesis results based on fuzzy weighting-dependent Lyapunov-Krasovskii functionals are less conservative than those based on the common quadratic Lyapunov-Krasovskii functionals.
Research Area(s)
- Fuzzy control, interconnected systems, H-infinity control, time-delay, Linear Matrix Inequalities (LMIs)
Citation Format(s)
Stability analysis and decentralized H-infinity control for time-delay fuzzy interconnected systems via fuzzy Lyapunov-Krasovskii functional. / Ou, Ou; Zhang, Hongbin; Yu, Guanjie et al.
In: Journal of Intelligent and Fuzzy Systems, Vol. 26, No. 4, 2014, p. 1731 - 1744.
In: Journal of Intelligent and Fuzzy Systems, Vol. 26, No. 4, 2014, p. 1731 - 1744.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review