TY - JOUR

T1 - Fuzzy control synthesis for large-scale systems with weighted interconnections

AU - Chang, Wei

AU - Wang, Wen June

PY - 2013

Y1 - 2013

N2 - This study examines the stabilisation problem associated with a particular type of large-scale system. This type of large-scale system consists of several non-linear subsystems, which are connected to each other via interconnections of variable weighting. Interconnections of variable weighting between two subsystems denote that the interaction strength between the two subsystems is variable. Moreover, the weight may even be zero at some times or in some cases. In this study the authors suppose that the range of weight variation between any two subsystems is known, and that the stabilisation conditions for the large-scale system are derived and that decentralised controllers which satisfy the conditions are synthesised. In the main result derivation, the Takagi-Sugeno (T-S) fuzzy model of a large-scale system is used and a parallel distribution compensation (PDC) type fuzzy controller is synthesised based on the linear-matrix-inequality (LMI) method. Finally, a umerical example is given to demonstrate that the main theorem is applicable and the synthesised controller is effective.

AB - This study examines the stabilisation problem associated with a particular type of large-scale system. This type of large-scale system consists of several non-linear subsystems, which are connected to each other via interconnections of variable weighting. Interconnections of variable weighting between two subsystems denote that the interaction strength between the two subsystems is variable. Moreover, the weight may even be zero at some times or in some cases. In this study the authors suppose that the range of weight variation between any two subsystems is known, and that the stabilisation conditions for the large-scale system are derived and that decentralised controllers which satisfy the conditions are synthesised. In the main result derivation, the Takagi-Sugeno (T-S) fuzzy model of a large-scale system is used and a parallel distribution compensation (PDC) type fuzzy controller is synthesised based on the linear-matrix-inequality (LMI) method. Finally, a umerical example is given to demonstrate that the main theorem is applicable and the synthesised controller is effective.

UR - http://www.scopus.com/inward/record.url?scp=84882794759&partnerID=8YFLogxK

U2 - 10.1049/iet-cta.2012.1007

DO - 10.1049/iet-cta.2012.1007

M3 - 期刊論文

AN - SCOPUS:84882794759

VL - 7

SP - 1206

EP - 1218

JO - IET Control Theory and Applications

JF - IET Control Theory and Applications

SN - 1751-8644

IS - 9

ER -