Showing papers on "Fuzzy control system published in 1981"
TL;DR: The formal procedure of the identification algorithm is illustrated by means of a numerical example and the possibility of using the proposed algorithm for the solution of a control problem is given.
183 citations
01 Jan 1981
51 citations
TL;DR: It is concluded that fuzzy control is a practicable and effective way of increasing the level of coordinative control on industrial processes.
40 citations
01 Aug 1981-International Journal of Human-computer Studies \/ International Journal of Man-machine Studies
TL;DR: The aim of this paper is to present some problems which may appear in the initial stage off design of a decisionmaking algorithm and discuss a method of their formulation.
Abstract: The fuzzy set theory established by L. A. Zadeh has started anew period in formalizing a decision-making processes in ill-defined systems where a human being (operator) is an important element in the control loop. The control algorithm used here is based on a generalized fuzzy version of modus ponens (compositional rule of inference) where a set of decision-making rules forming a control algorithm is given. The aim of this paper is to present some problems which may appear in the initial stage off design of a decisionmaking algorithm and discuss a method of their formulation. We introduce notions like the completeness of algorithm, interactivity and the competitivity of control rules and consider indices illustrating the presented design aspects.
29 citations
01 Dec 1981
TL;DR: This paper deals mainly with an intuitive understanding of the underlying process of the self-organising controller in which the rules are learnt through experience.
Abstract: The first rule-based controller for industrial processes using fuzzy logic was proposed seven years ago. Many research teams have continued work on this system since then. However, because early work emphasised the use of fuzzy mathematics, the underlying mechanisms within the controller have tended to be obscured. The result is a tendency towards misdirected inquiry of some superficial features of the controller. This paper deals mainly with an intuitive understanding of the underlying process. A similar type of analysis is also extended to the self-organising controller in which the rules are learnt through experience.
9 citations
TL;DR: A brief survey of some of the work that is being done in fuzzy set theory in the design of feedback control algorithms for industrial applications is given.
7 citations
TL;DR: This paper investigates the possibility of applying the Fuzzy Sets Theory to the Temperature control of box annealing furnaces using Simulation techniques on a simple model of a boxAnnealing furnace and revealed that there is a good chance that the F fuzzy Sets Theory can be used to advantage in temperature control.
6 citations
01 Jan 1981
TL;DR: It will be shown that the chosen mathematical approach, based on fuzzy sets theory, eases an advanced formalization of the logic (i.e. by a set of verifiable statements) of the visual-motor system.
Abstract: Within the system driver - vehicle - environment the visual-motor channel represents the most important component as to mastering the driving tasks. This channel can be characterized by perceptual complexity and behavioural dynamics. This report aims to present a conceptual framework considering both aspects complexity and dynamics in like manner. Thereby - first of all - two approaches are unavoidable: (1) description of reaction dynamics by use of quantitative-mathematical methods; (2) description of information processing complexity with the aid of formal logic (i.e. By a set of verifiable statements). Establishing fuzzy systems to describe the dynamics, it is possible to avoid too great discrepancies between these two levels of description. For this state of the visual-motor system the experimental design will be presented. Furthermore, it will be shown that the chosen mathematical approach, based on fuzzy sets theory, eases an advanced formalization of the logic (i.e. by a set of verifiable statements). Establishing the conference see TRIS abstract no. 369460. (TRRL)
5 citations
TL;DR: It is shown that a mathematical theory of pragmatic fuzzy subsets is not only conceptually possible but practically implementable in man-machine studies as well, and the important context-dependent implication of the subjective nature of Zadeh's theory of fuzzy sets can be better exploited.
5 citations
TL;DR: A mathematical description for the simple fuzzy controllers is given and a definition of responsibility and some sufficient conditions of it will be given.
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01 Jan 1981
01 Dec 1981
TL;DR: It is suggested that one of the ways to represent imprecise or complex dynamical processes in a fuzzy environment is via fuzzy differential equations and some analysis of their typical solution.
Abstract: The idea of fuzzy systems as models for the complex or incomplete processes is not a new idea The determination of a satisfactory model for an imprecise, complex or incomplete process is basically a matter of approximation Namely, determining an admissible model best deserving the particular physical phenomena We suggest that one of the ways to represent imprecise or complex dynamical processes in a fuzzy environment is via fuzzy differential equations and some analysis of their typical solution In particular, total differential equations of first and second order and partial differential equations of second order are considered They are unusual in that the coefficients appearing in the equation are "fuzzy"
TL;DR: The concept of fuzziness is nested in aggregates of sets and set-valued mappings rather than in point sets and point-to-point functions, which enables one to extend the membership function to multivalued maps and to establish a fundamental conceptual similarity between the quantum mechanical uncertainty theory and certain fuzzy laws and relations in the new setting.
TL;DR: To evaluate the functional concept and the quality of control, especially at higher levels, for instance the principles of observability and controllability ought to be helpful too, because their requirements might not always be fulfilled.