TY - JOUR
T1 - Memory H ∞ performance control of a class T-S fuzzy system
AU - Wang, Yanhua
AU - He, Xiqin
AU - Wu, Zhihua
AU - Kang, Xiulan
AU - Xiu, Wei
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/3/29
Y1 - 2018/3/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85046079391&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/322/7/072016
DO - 10.1088/1757-899X/322/7/072016
M3 - Conference article
AN - SCOPUS:85046079391
SN - 1757-8981
VL - 322
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 7
M1 - 072016
T2 - 2017 International Symposium on Application of Materials Science and Energy Materials, SAMSE 2017
Y2 - 28 December 2017 through 29 December 2017
ER -