Affiliation:
1. Department of Cybernetics and Artificial Intelligence Faculty of Electrical Engineering and Informatics Technical University of Košice Letná 9, 042 00 Košice SLOVAKIA
Abstract
This paper is concerned with the design of switching observers for nonlinear positive systems, where the basic parameters of the Metzler-Takagi-Sugeno fuzzy models are intervally defined. With consideration of the measurable set of premise variables the associated structure of the switching fuzzy interval observers is proposed for system state estimation to maintain stability and H1 performance level under the influence of norm-bounded additive disturbance. The design conditions take into account the lower and upper bounds of nonnegative system state. A numerical example is included to demonstrate the effectiveness of the developed theory for the condisered class of systems.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Artificial Intelligence,General Mathematics,Control and Systems Engineering
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