Research Repository

H-infinity control of non-linear dynamic systems: a new fuzzy delay partitioning approach

Zhao, Yan, Wu, Junli and Shi, Peng (2009) H-infinity control of non-linear dynamic systems: a new fuzzy delay partitioning approach. IET Control Theory and Applications, 3 (7). pp. 917-928. ISSN 1751-8644

Full text for this resource is not available from the Research Repository.


The problem of robust H infin control for Takagi-Sugeno (T-S) fuzzy systems with norm-bounded parameter uncertainties and a time delay in the state is investigated. Attention is focused on the design of robust H infin controllers via the parallel distributed compensation scheme such that the closed-loop fuzzy time-delay system is asymptotically stable and the H infin disturbance attenuation is below a prescribed level. By utilising the instrumental idea of delay partitioning, a new Lyapunov-Krasovskii functional is introduced, and some novel ideas for achieving delay dependence and basis dependence have been employed, which guarantee the obtained conditions to be much less conservative than most existing results in the literature. These conditions are formulated in the form of linear matrix inequalities (LMIs), based on which, the controller design is cast into a convex optimisation problem subject to LMI constraints. Finally, two examples are illustrated to show the feasibility and effectiveness of the obtained results.

Item Type: Article
Uncontrolled Keywords: ResPubID19352, H-infinity control, Lyapunov methods, asymptotic stability, closed loop systems, compensation, control system synthesis, convex programming, delay systems, delays, fuzzy control, fuzzy systems, linear matrix inequalities, nonlinear control systems, nonlinear dynamical systems, robust control
Subjects: Historical > SEO Classification > 970101 Expanding Knowledge in the Mathematical Sciences
Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Current > FOR Classification > 0199 Other Mathematical Sciences Information Systems
Depositing User: VUIR
Date Deposited: 14 Jun 2011 06:41
Last Modified: 06 Jul 2011 05:43
ePrint Statistics: View download statistics for this item
Citations in Scopus: 22 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar