#### Filter Results:

- Full text PDF available (34)

#### Publication Year

1948

2017

- This year (4)
- Last 5 years (20)
- Last 10 years (37)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Piotr Kulczycki
- IEEE Trans. Fuzzy Systems
- 2000

In many applications of motion control, the occurrence of nonlinear friction constitutes a fundamental obstacle in the design of satisfactory controlling systems. Since it is seldom possible to obtain a relatively accurate model of resistance to motion, a solution more and more often applied in practice is to introduce approaches that incorporate the… (More)

Methods based on kernel density estimation have been successfully applied for various data mining techniques. Their natural interpretation together with consistency properties make them an attractive tool in clustering problems. In this paper, the complete gradient clustering algorithm, based on the density of the data, is presented. The proposed method has… (More)

- Piotr Kulczycki, Malgorzata Charytanowicz
- AICI
- 2011

- Piotr Kulczycki
- Soft Computing Applications in Industry
- 2008

The specification, based on experimental data, of functions which characterize an object under investigation, constitutes one of the main tasks in modern science and technological problems. A typical example here is the estimation of density function of random variable distribution from any given sample. The classical procedures rely here on arbitrary… (More)

- Piotr Kulczycki, Malgorzata Charytanowicz
- Applied Mathematics and Computer Science
- 2010

The aim of this paper is to provide a gradient clustering algorithm in its complete form, suitable for direct use without requiring a deeper statistical knowledge. The values of all parameters are effectively calculated using optimizing procedures. Moreover, an illustrative analysis of the meaning of particular parameters is shown, followed by the effects… (More)

- Piotr Kulczycki, Rafael Wisniewski
- Fuzzy Sets and Systems
- 2002

In many applications of motion control, problems associated with imprecisely measured or changing load (a mass or a moment of inertia) can be a serious obstacle in the formation of satisfactory controlling systems. This barrier compels the designer to include various kinds of uncertainties in engineering solutions. The present paper deals with the… (More)

- Piotr Kulczycki
- Kybernetika
- 2002

- Rafael Wisniewski, Piotr Kulczycki
- IEEE Trans. Automat. Contr.
- 2003

A complete algorithm is presented for the sharpening of imprecise information, based on the methodology of kernel estimators and the Bayes decision rule, including conditioning factors. The use of the Bayes rule with a nonsymmetrical loss function enables the inclusion of different results of an underand overestimation of a sharp value (real number), as… (More)

- Artur Nowosielski, Piotr A. Kowalski, Piotr Kulczycki
- 2015 Federated Conference on Computer Science and…
- 2015

This paper describes the basic components of a research project aimed at the application of natural computing metaheuristics to optimize the horizontal scaling of databases. Column oriented databases were selected for the project because of their unique properties. A mathematical model has been created in order to align the problem of horizontal scalability… (More)