Wyniki wyszukiwania - BazTech

1

Zastosowanie zmiennych niepewnych w optymalizacji rozdziału zasobu dla klasy zależnych operacji produkcyjnych

Orski D.

Zeszyty Naukowe. Automatyka / Politechnika Śląska

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2006

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z. 144

63-70

PL

Praca dotyczy problemu rozdziału zasobu pomiędzy realizowane szeregowo operacje produkcyjne. Czasy wykonania operacji opisane są zależnościami relacyjnymi z nieznanymi parametrami, o których zakłada się, że są wartościami zmiennych niepewnych charakteryzowanymi przez eksperta. W pracy przedstawiono trzy sformułowania problemu optymalnego rozdziału zasobu wyróżnione ze względu na postać wymagania użytkownika, wskazano sposoby ich rozwiązania oraz podano przykłady ilustracyjne.

EN

The paper concerns a resource distribution problem in a cascade of production operations with execution times described by relations containing unknown parameters. The parameters are assumed to be values of uncertain variables characterized by an expert. The paper presents three formulations of optimal resource distribution problem for different forms of user's requirement. Solutions and examples illustrating the presented approach are included.

2

Neural networks in adaptive control for a complex of operations with uncertain parameters

Orski D., Sugisaka M., Graczyk T.

Systems Science

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2006

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Vol. 32, no 2

19-35

EN

This paper concerns a control system for a resource distribution in a complex of parallel operations. The operations are described by relational knowledge representation with uncertain parameters characterized by an expert. The knowledge obtained from an expert is further corrected online by applying an adaptation process. Three particular adaptive control algorithms are suggested, of which two use an artificial neural network. The paper presents selected results of simulations showing that the proposed concepts and algorithms may be practically useful.

3

Application of uncertain variables to knowledge-based resource allocation in a group of research units

Bubnicki Z., Orski D.

Systems Science

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2004

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Vol. 30, no 2

75-87

EN

The paper is concerned with the problem of a knowledge-based resource distribution in a group of research units. The uncertain parameters in the relational knowledge representation are assumed to be values of uncertain variables characterized by an expert in the form of certainty distributions. Two versions of the problem have been formulated. In the second version, a "productivity" of the units in the former period and the estimation of the current possibilities presented by the expert are taken into account. The results and examples concerning the second version have been presented.

4

Application of uncertain variables in an adaptive decision system for a complex of operations

Orski D., Sugisaka M.

Systems Science

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2004

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Vol. 30, no 3

85-94

EN

The paper concerns a decision plant consisting of parallel operations, which are described by relational models with unknown parameters. The unknown parameters are assumed to be values of uncertain variables characterized by certainty distributions given by an expert. The solution of a decision problem and, consequently, performance of the knowledge-based decision system is very sensitive to the forms and parameters of certainty distributions. In the paper, it is shown how application of an adaptation process, consisting in step by step changing of parameters in certainty distributions based on current performance evaluation, may improve performance of a decision system under consideration. An illustrative example and results of simulations are included.

5

Quality analysis and adaptation in control systems with a controller based on uncertain variables

Orski D.

Systems Science

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2003

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Vol. 29, nr 2

81-93

EN

The paper concerns a class of knowledge-based control systems containing a controller with inputs and outputs assumed to be values of uncertain variables. The description of the controller then has the form of certainty distribution of these variables. Two general approaches to the knowledge-based design of such a controller are presented: in a prescriptive approach expert's knowledge concerns a controller and in a descriptive approach expert's knowledge concerns a plant. A method for evaluating control quality obtained with both approaches is proposed, and a concept of controller's adaptation is presented. Numerical example and results of simulations are included.

6

A comparison of descriptive and prescriptive approach for a class of uncertain and fuzzy controllers

Bubnicki Z., Orski D.

Systems Science

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2002

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Vol. 28, nr 3

19-30

EN

Two approaches to a decision problem for an uncertain plant are considered. In the descriptive approach an expert gives the knowledge of the plant which is used to determine the knowledge of the decision making. In the prescriptive approach the knowledge of the decision making is given directly by an expert. The basic idea of the comparison of these two approaches is presented in the paper for two descriptions of the uncertainty, based on uncertain variables and on fuzzy formalism. A simple example and results of simulations are described.

7

Algorytm sterowania dwupoziomowym kompleksem operacji produkcyjnych

Józefczyk J., Orski D.

Zeszyty Naukowe. Automatyka / Politechnika Śląska

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2000

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z. 129

191-200

PL

Przedstawiono algorytm sterowania dla kompleksu operacji produkcyjnych, w którym łącznie są rozpatrywane: wybrane zagadnienie szeregowania zadań oraz zagadnienie bezkolizyjnego sterowania jazdą grupy realizatorów w celu minimalizacji długości uszeregowania. Prezentowany algorytm ma charakter adaptacyjny, a mianowicie rozwiązania w postaci tras przejazdów dla realizatorów są modyfikowane w trakcie działania algorytmu. Przedstawiono wyniki badania wrażliwości uzyskiwanego rozwiązania na zmiany liczby zadań i liczby realizatorów.

EN

The problem of control in a complex manufacturing operation system is investigated. Two interconnected sub-problems, i.e. scheduling of manufacturing tasks and control of movement of a group of executors performing the tasks are solved to minimise the makespan. The adaptive solution algorithm is given, which allows current modifications of routes for executors. The results of sensitivity analysis of the algorithm are presented.