Title:

New developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: applications * Reconfigurable hardware for fuzzy controller

Subtitle:

Książka = Book ; KS/4/2012/P21

Creator:

de Macedo Mourelle, Luiza ; de Souza e Silva Sandres, Paulo ; Nedjah, Nadia

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2012

Description:

[5], 243-277 pages ; 21 cm ; Bibliography p. 274-277

Type of object:

Book/Chapter

Abstract:

Computational system modeling is full of ambiguous situations, wherein the designer cannot decide, with precision, what should be the outcome of the system. In [29], L. Zadeh introduced for the first time the concept of fuzziness as opposed to crispiness in data sets. When he invented fuzzy sets together with the underlying theory, Zadeh’s main concern was to reduce system complexity and provide designer with a new computing paradigm that allow the to approximate results. Whenever there is uncertainty, fuzzy logic together with approximate reasoning apply. Fuzzy logic and approximate reasoning [30, 31] can be used in system modeling and control as well as data clustering and prediction [23], to name only few appropriate applications. Furthermore, they can be applied to any discipline such as finance [6], image processing [35, 9], temperature and pressure control [34, 14], robot control [11, 24], among many others. Process control is one of the many applications that took advantage of the fuzzy logic. Controller are usually embedded into the controller device. This chapter aims at presenting the development of a reconfigurable efficient architecture for fuzzy controllers, suitable for embedding. The architecture is parameterizable so to allows the setup and configuration of the controller so it can be used for various problem applications. This chapter describes the hardware implementation of a shell fuzzy controller based on generic fuzzy logic, allowing the setup and configuration for various problem situations.

Relation:

Książka = Book

Resource type:

Text

Detailed Resource Type:

Book

Source:

KS-2012-04-P21

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open