1,721,204 research outputs found
Tensor based analysis of quantized chaotic pseudo-Markov processes
This contribution represents the slides of a tutorial held by the author
FM-based generation of high EMC timing signals
This contribution represents the slides of a tutorial held by the author
Statistical approach to discrete-time chotic systems: some tools for studying chaos with densities and application to EMI reduction
This contribution represents the slides of a tutorial held by the author
Statistical approach to discrete-time chaotic systems: advanced tools for quantized chaotic trajectories
This contribution represents the slides of a tutorial held by the author
Statistical approach to discrete-time chaotic systems: application of basic and advanced tools to DS-CDMA system optimization
This contribution represents the slides of a tutorial held by the author
S-Norm aggregation of infinite collections
The aggregation of membership values by means of theiterate application of an s-norm is of cardinal relevance for thedevelopment of any general theory of approximate reasoning whichrelies on a {\em sup-t} model for relation composition. Here wepresent a definition of s-norm aggregation for possibly infinitecollections, which can be demonstrated to consistently generalizeprevious approaches. It provides a common framework in which classical{\em sup-t} and finite {\em s-t} compositions can be analyzed as wellas other significant cases. General properties of the s-normaggregation concept, its specialization for the class of continuouss-norms and its relationship with fuzzy measure theory are discusse
On the Approximation Capabilities of the Homogeneous Takagi-Sugeno Model
The approximation capability of the Takagi-Sugeno model are investigated in this paper. This kind of model features a functional consequent which is usually a first-degree polynomial in the inputs. The importance of the constant term in such a polynomial is highlighted showing that if it is discarded the Takagi-Sugeno model features the same approximation power of the simpler constant-consequence systems
Rule Reduction Algorithm for SISO Takagi-Sugeno Models
Rule Reduction Algorithm for SISO Takagi-Sugeno Model
Q-norms and Generalized Relational Composition on Dense Universes
Q-norms and generalized relational composition on dense universe
Fuzzy systems with overlapping Gaussian concepts: Approximation properties in Sobolev norms
In this paper the approximating capabilities of fuzzy systems with overlapping Gaussian concepts are considered. The target function is assumed to be sampled either on a regular gird or according to a uniform probability density. By exploiting a connection with Radial Basis Functions approximators, a new method for the computation of the system coefficients is provided, showing that it guarantees uniform approximation of the derivatives of the target function
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