Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4974126 | Journal of the Franklin Institute | 2017 | 26 Pages |
Abstract
This article deals with the exponential stabilization problems of Takagi-Sugeno (T-S) fuzzy system under aperiodic sampling. The objective is to solve the Hâ, L2âLâ, passive and dissipative stability and stabilization problems based on a unified performance index-extended dissipativity. Some new stability conditions consisting of both exponential stability and extended dissipativity criterion are first established. A sampling period dependent Lyapunov-Krasovskii function together with a novel efficient integral inequality, which has the advantage of reducing conservativeness, is adopted. On the basis of the stability conditions, a sampled-data controller that can not only exponentially stabilize the system but also guarantee the prescribed extended-dissipativity performance is then designed. Moreover, an exponential decay rate can be set in advance to achieve better system performance. Finally, a quarter-vehicle active suspension system with considering payload uncertainties and aperiodic sampling is provided for evaluating the validity and superiority of the extended dissipative control approach proposed in this article.
Related Topics
Physical Sciences and Engineering
Computer Science
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Authors
Jingying Li, Xianlin Huang, Zhengchao Li,