Abstract
The problem of L2 - L∞ filtering for a class of Takagi-Sugeno (T-S) fuzzy stochastic systems is tackled in this paper. A new design method of full order filter is presented, that guarantees the asymptotic stability of filtering error system with a prescribed L2 - L∞ performance level. The filter parameters are assumed to be linearly dependent on the normalised fuzzy weighting functions. Sufficient analysis condition is proposed in the filter analysis step where some known lemmas are applied, thereafter, the corresponding filter design is cast into a convex optimisation problem. Finally, numerical example from literature is employed to demonstrate the effectiveness of the proposed method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Digital Signals and Smart Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
