TY - GEN
T1 - State estimation for T-S fuzzy affine systems with variable quantization density
AU - Ning, Zepeng
AU - Zhang, Lixian
AU - Liang, Jitai
AU - De Jesus Rubio, Jose
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/20
Y1 - 2016/1/20
N2 - This paper is concerned with the problem of state estimation for a class of discrete-time Takagi-Sugeno fuzzy affine systems against measurement quantization. The quantization density can be manually adjusted to satisfy different performance requirements at different time instants, which can reduce the amount of transmitted information when the performance requirement for the fuzzy filtering error system is not critical. With the aid of a fuzzy-basis-dependent Lyapunov function and the S-procedure approach, sufficient conditions on the existence of the desired H∞ filters are established to ensure that the fuzzy filtering error system is asymptotically stable with a prescribed H∞ performance index. Finally, a practical example of single-link robot arm is provided to illustrate the effectiveness as well as the smaller transmitted information burden of the proposed state estimation strategy.
AB - This paper is concerned with the problem of state estimation for a class of discrete-time Takagi-Sugeno fuzzy affine systems against measurement quantization. The quantization density can be manually adjusted to satisfy different performance requirements at different time instants, which can reduce the amount of transmitted information when the performance requirement for the fuzzy filtering error system is not critical. With the aid of a fuzzy-basis-dependent Lyapunov function and the S-procedure approach, sufficient conditions on the existence of the desired H∞ filters are established to ensure that the fuzzy filtering error system is asymptotically stable with a prescribed H∞ performance index. Finally, a practical example of single-link robot arm is provided to illustrate the effectiveness as well as the smaller transmitted information burden of the proposed state estimation strategy.
KW - TCS fuzzy affine systems
KW - filter design
KW - signal transmission delays
KW - variable quantization density
UR - http://www.scopus.com/inward/record.url?scp=84963813228&partnerID=8YFLogxK
U2 - 10.1109/ICICIP.2015.7388182
DO - 10.1109/ICICIP.2015.7388182
M3 - Contribución a la conferencia
AN - SCOPUS:84963813228
T3 - Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015
SP - 274
EP - 279
BT - Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015
Y2 - 26 November 2015 through 28 November 2015
ER -