On guaranteed cost fuzzy control for nonlinear systems with interval time-varying delay
journal contribution
posted on 2017-12-06, 00:00authored byXiefu Jiang, Qing-Long Han
A guaranteed cost fuzzy control for a class of nonlinear time-delay systems has been reported. The time-delay is assumed to be a time-varying continuous function belonging to a given interval, which means that the lower and upper bounds of the time-varying delay are available. And no restriction on the derivative of the time-varying delay is needed, which allows the time-delay to be a fast time-varying function. The nonlinear time-delay systems are approximated by uncertain Takagi-Sugeno (T-S) fuzzy models with interval time-varying delay. Delay-dependent sufficient conditions on the existence of a guaranteed cost fuzzy controller are derived in terms of matrix inequalities. No model transformation is needed and no slack matrix variable is introduced. A non-convex minimisation problem is formulated for finding the least upper bound of guaranteed cost function under matrix inequality constraints. In order to solve this non-convex minimisation problem, a linearisation iterative algorithm is provided to design a controller achieving a suboptimal guaranteed cost for the considered systems. No parameter needs to be selected in advance. A numerical example is also given to show the effectiveness of the proposed design method.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Volume
1
Issue
6
Start Page
1700
End Page
1710
Number of Pages
11
ISSN
1751-8644
Location
Stevenage, UK
Publisher
Institution of Engineering and Technology
Language
en-aus
Peer Reviewed
Yes
Open Access
No
External Author Affiliations
Faculty of Business and Informatics; Hangzhou Dianzi University;