Memory H performance control of a class T-S fuzzy system

Yanhua Wang*, Xiqin He, Zhihua Wu, Xiulan Kang, Wei Xiu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

For much nonlinear system in the control system, both the stability of the system and certain performance indicators are required. The characteristics of T-S model in fuzzy system make it possible to illustrate a great amount of nonlinear system efficiently. First and foremost, the T-S model with uncertainties and external disturbance is utilized to interpret nonlinear system so as to implement H performance control by means of fuzzy control theory. Meantime, owing to the tremendous existence of time delay phenomenon in the controlled, feedback controller with memory fuzzy state is fabricated. On the basis of Lyapunov Stability Theory, the closed-loop system becomes stable by establishing Lyapunov function. Gain matrix of the memory state feedback controller is obtained by applying linear matrix inequality methodology. And simultaneously it makes the system meet the requirement of the H performance indicator. Ultimately, the efficiency of the above-mentioned method is exemplified by the numerical computation.

Original languageEnglish
Article number072016
JournalIOP Conference Series: Materials Science and Engineering
Volume322
Issue number7
DOIs
Publication statusPublished - 29 Mar 2018
Externally publishedYes
Event2017 International Symposium on Application of Materials Science and Energy Materials, SAMSE 2017 - Shanghai, China
Duration: 28 Dec 201729 Dec 2017

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