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Information model of the economic efficiency of advertising

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The development of the economy and trade has led to the widespread use of advertising and the need for its constant improvement. There is a vast field of advertising theory. This paper proposes an information model of the functioning of advertising. We introduce ideas about useful and harmful (excess) information. The concept of user’s thesaurus is also introduced. The effectiveness of advertising is determined by the mutual influence of useful and redundant information. Differential equations are formulated on this basis, the solution of which allows to establish the patterns of the influence of psychological characteristics of users and the mode of presentation of information on the effectiveness of advertising.
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Information model of the economic efficiency of advertising
Alina Vinkovska1,*, Arnold Kiv1, Tatyana Koycheva1, Liliia Bodnar1, and Ivan Donchev1
1South Ukrainian National Pedagogical University named after K. D. Ushynsky, Odessa, Ukraine
Abstract. The development of the economy and trade has led to the widespread use of
advertising and the need for its constant improvement. There is a vast field of advertising theory.
This paper proposes an information model of the functioning of advertising. We introduce ideas
about useful and harmful (excess) information. The concept of user’s thesaurus is also
introduced. The effectiveness of advertising is determined by the mutual influence of useful and
redundant information. Differential equations are formulated on this basis, the solution of which
allows to establish the patterns of the influence of psychological characteristics of users and the
mode of presentation of information on the effectiveness of advertising.
1 Introduction: state of the advertising
research
The advertising research has two directions. One of them
consists in the staging of purposeful experiments and the
creation of empirical formulas describing the identified
experimental consistency. Another direction is the
development of models and the mathematical description
of these models. Then a comparison with experiment is
carried out.
In [1-3] experiments were described to examine
memory interference in an advertising context. The
processes of remembering and forgetting advertising
blocks in the human’s brain are depending on the quality
of blocks, clarity of advertisement.
At first, consumer memory for some advertising was
inhibited as a result of subsequent exposure for other
products in that manufacturer's product line and for
competing products in the same product class. It happens
preferably in the case of some kind of advertisement
which is more attractive. Next, an experiment was
performed which showed the analogous interference
effects. In the third case it was obtained that the presence
of advertising for competitive products changes the
relationship between the repetition and consumer
memory. Repetition had a positive effect only when
there was little or no advertising for similar products [4].
This effect was also studied in the works [5, 6, 21, 24,
27, 29], in which the found experimental patterns are
described using empirical formulas.
Mathematical models in this field have been
developed for a long time [6-9, 20, 31-33]. They
described empirical results in mathematical language. By
this way, fundamental patterns are obtained. In [10-16,
39] a dynamic model of the company’s sales dependence
on advertising costs is constructed. It was shown that the
advertising allows you to increase sales, but the
dependence of increasing demand from increased
advertising costs is not linear. Authors claimed that the
advertising does not work instantly, since its inception,
the information is accumulated in the minds of people
with each meeting with advertising and reaches the peak
after a certain time.
In our work, we use some representations of
information theory for the implementation of an
information approach with the aim of increasing the
effectiveness of advertising.
Presentation of advertising is essentially a message of
information to the consumer [17-19]. Therefore, the
problem of increasing the effectiveness of advertising is
reduced to considering the quality of the information
presented, the mechanisms of its creation and
presentation to the recipient, the psychological
characteristics of perception of information by the
recipient.
When creating advertising, along with clearly marked
target information, extra information is usually added to
“decorate” advertising [22, 26, 28]. This immediately
affects the perception of useful target information.
Further, in the course of the operation of advertising (in
the course of its multiple presentations), the effect of
“redundant information” arises.
This effect increases with time, prevents the
perception of useful information and depends on the
psychological characteristics of the recipient.
Information theory introduces the concept of
information usefulness. Bongard [37] connects the
usefulness of information with an increase in the
probability of achieving the goal after receiving a
message, in accordance with the formula:
𝑉 =𝑙𝑜𝑔2 (𝑃’/𝑃) (1)
Here, P and P' are the probability of achieving the
goal before and after receiving the information.
SHS Web of Conferences 65, 04022 (2019) https://doi.org/10.1051/shsconf/20196504022
M3E2 2019
© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution
License 4.0 (http://creativecommons.org/licenses/by/4.0/).
According to formula (1), the redundant information
has zero value. However, in many cases, redundant
information turns out to be useful and even necessary
[38, 40-42].
In the case of the creation and operation of
advertising excess information harms, reducing the
effectiveness of advertising.
In the majority of works devoted to study the
properties of advertising, it is believed that over time (an
increase in the number of repeated presentations of
advertising) there is an accumulation of information (I)
perceived by the recipient (for example, [1-4]).
In fact, from the very beginning the advertising
presents the necessary information for the recipient, and
at subsequent presentations the new information is not
added. Therefore, to talk about the accumulation of
information for the recipient over the time of the
functioning of advertising (increasing the number of
presentations) is not entirely correct. That is why we
introduce the concept of enhancing of the information
impact” which is not equivalent to the idea of the
accumulation of information.
2 Description of the information
approach in the advertising research
Usually the first perception of a new advertisement is
surface, inaccurate and not fully understood [25, 30, 34-
36]. Although the new information is not added,
subsequent presentations of this ad lead to the fact that
its content becomes more conscious, understandable,
more deeply perceived.
For a quantitative description of the process of
perception of advertising information, we found it
convenient to identify the process of deeper “mastering”
advertising with the accumulation of additional
information and introduce a function of the information
accumulation I = f(t). We assume that the number of
advertisements presented (n) is proportional to time (t).
With a large number of presentations of advertising,
its content is completely assimilated by the recipient and
after some time begins to be perceived as redundant
information. In this case, the accumulation of redundant
information adversely affects the perception of useful
information.
Thus, the perception of advertising depends on the
mutual influence of useful and harmful (redundant)
information. It is obvious that at the initial stages of the
functioning of advertising, the influence of useful
information prevails, but over time, as the accumulation
of excess information, the latter dominates. The period
of time after which the information begins to be
primarily perceived as excessive depends on the
psychological characteristics of the recipients and on
their thesaurus.
But not only redundant information with a large n
can adversely affect the perception of advertising. At the
very beginning of the presentation of advertising (when
it is created) it can contain harmful information that has
a negative impact on the perception of advertising.
Therefore, from the very beginning, the model should
take into account the impact on the recipient of positive
and negative information, as well as the interaction of
these two types of information. We will consider
positive information (contributing to the achievement of
the goal of advertising) with a plus sign and negative
information (reducing the effect of positive information)
with a minus sign.
3 Formulation of equations and
discussion of results
Naming by I1(t) and I2(t) the functions of accumulation
of positive and negative information, we write the
kinetic equations:

 = (2)

 = (3)
In equations (2) and (3) T is a thesaurus of recipients;
β is a coefficient of influence of the negative information
on the positive one and is a coefficient of influence of
the positive information on the negative one. It is
presumed that β, β' < 1. From equations (2) and (3) we
go to equation (4)
=  {  } . (4)
The last equation has a solution:
= +
(5)
where C1 and C2 are constants that are determined by
initial conditions.
Using (4) one can write expression for I2:
I2= 1
β T- ββ'C2et (6)
With initial conditions:
(0)= (0)= 0 ; (7)
we obtain:
=
 ; =
 (8)
As a result, we get:
=
 1 (9)
=
1 e (10)
For large enough time periods one can write:
=
 [] (9’)
=
 (10’)
2
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These results show that an accumulation of both
kinds of information (I1 and I2) depends on their mutual
influence. It is important that parameter values β and β'
change in the process of advertising functioning. The
competition of information I1 and I2 accumulation
processes leads to the conclusion about two stages of
advertising evolution. At the first stage, accumulation of
I1 information prevails and at the second stage
accumulation of I2 information prevails.
Considering solutions (9’) and (10’), we take into
account that these dependencies obtained are determined
primarily by the exponent. We also take into account that
at the first stage, β is small compared to β', and
practically does not change. There is only a gradual
increase in β'. This leads to the quality result illustrated
in Fig. 1.
Fig. 1. Schematic illustration of I1 information accumulation at
the first stage of functioning of an advertisement. The curve 1
corresponds to I1 accumulation and the curve 2 to I2
accumulation. The curve 3 is an accumulation of a total
positive information received by the recipient.
This situation persists at the first stage of the
functioning of advertising. I2 slightly decreases an
accumulation of I1. Expression (10’) does not adequately
describe the situation at the first stage, since the amount
of redundant information is still small
The situation changes at the second stage of the
functioning of advertising. Over time, the nature of the
mutual influence of the two types of information
changes. The effect of I2 on I1 increases, and the
influence of I1 on I2 drops. At the second stage of the
functioning of advertising negative (redundant)
information predominantly increases. This means that
the effect of positive information will be reduced and
although I1 according to formula (9) continues to
increase, but the “effective” value of I (I1+I2) decreases.
In fact, I1 turns into I2, because the accumulation of
redundant information in accordance with the model
reduces the “qualityof positive information, therefore
its quantity. The noted patterns are qualitatively shown
in Fig. 2.
The perception of useful information throughout the
operation of advertising (in fact, its effectiveness) is
demonstrated in Fig. 3.
Based on the expressions (9) and (10) for the relative
effectiveness (δ) of advertising can be written:
=
(11)
I+ I= T 
(e1) (12)
=
/ 
 (13)
=
 (14)
Fig. 2. Schematic illustration of accumulation of a total
information received by the recipient at the second stage. The
first and the second curves correspond to the accumulation of
positive information for two values parameters (
>
),
parameter β does not change. The third and the fourth curves
correspond to accumulation of negative information for two
values of parameter β (<), does not change. The fifth
curve corresponds to accumulation of total positive information
received by the recipient.
Fig. 3. Schematic illustration of total positive information
received by the recipient during two stages of functioning of
advertising.
3
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Formula (14) in accordance with our model shows
that relative effectiveness of advertising depends on the
influence of the value of parameter . As we noted
above, formula (9’) describes the accumulation of
positive information at the first stage of the advertising
operation and formula (10’) is applied to the second
stage.
Due to the quality of advertisement the action of the
advertising can be started in the different moments of
time. This means that advertising can be disconnected
for a while and then re-presented.
If the action of the ad starts at the moment t1 the
initial conditions will be formulated as:
()= 0; ()= 0 (15)
In this case using expressions (5) and (6) we obtain:
+
= 0 (16)
= 0 (17)
= 0 (18)
=
 (19)
=
 (20)
As a result, constants and , in contrast to (8), are
follows:
=(
); =
 (21)
Substituting these constants to (5) and (6) and using
the formula (11) we obtain:
=
+
(22)
In this case the relative effectiveness of the
advertisements significantly depends on the time when
the advertisement does not act. We also see that in
contrast to formula (14) in the last case the relative
effectiveness depends on the thesaurus of recipients.
4 Conclusion
The effectiveness of advertising is determined by the
perception of positive information by the recipient.
Analysis of the information model of advertising leads to
the conclusion of a two-stage process of functioning of
advertising. This is due to the influence of redundant
information on useful information that should be
perceived by the recipient. Excess information appears
as a result of multiple presentation of the same
advertising material. We claim that in the case of the
advertising operation the redundant information is
always harmful.
It is significant that the accumulation of both types of
information occurs differently at different stages of the
functioning of advertising. In the first stage, mainly
positive information is accumulated. The accumulation
of redundant (negative) information begins with a
sufficiently large number of presentations of advertising
(in the second stage). In this case, the accumulation of
positive information continues, but it is suppressed by
the predominant accumulation of negative information.
In Figure 1, the vertical line conventionally separates
the two stages of the functioning of advertising. The
position of this line depends on the psychological
characteristics and the thesaurus of the recipients. Thus,
when creating advertising, it is important to evaluate the
period corresponding to the first stage of the functioning
of an advertisement, for which a special psychological
research is necessary. The effect of advertising depends
not only on the quality of advertising, but also
significantly on the thesaurus and psychological
characteristics of the recipient.
The dependence shown in Fig. 1 is of the identical
form as the experimental curves [3].
The obtained results show that for different initial
conditions the advertisements act in different ways
relatively their effectiveness (δ). It means that in the real
conditions of advertisement operation its effectiveness
can change not only in accordance with mentioned
stages but under influence of other factors, such as
turning off and subsequent turning on of the
advertisement.
References
1. Burke, R.R., Srull, T.K: Competitive Interference
and Consumer Memory for Advertising. Journal of
Consumer Research. 15(1), 5568 (1988)
2. Batra, R., Ray, M.L.: Situational Effects of
Advertising Repetition, The Moderating Influence
of Motivation, Ability, and Opportunity to Respond.
Journal of Consumer Research. 12(4), 432445
(1986)
3. Lutoshkin, I., Yamaltdinova, N.: The Existence of
the Solution to the Control Problem of Advertising
Expenses with Distributed lag. The Bulletin of
Irkutsk State University. Series Mathematics. 18,
4859 (2016)
4. Lutoshkin, I.: Modeling a response function to
frequency of advertising. Applied Econometrics.
19(3), 101111
https://econpapers.repec.org/scripts/redir.pf?u=http
%3A%2F%2Fpe.cemi.rssi.ru%2Fpe_2010_3_101-
111.pdf;h=repec:ris:apltrx:0052 (2009). Accessed
21 Mar 2019
5. Fitch, D.: Optimizing Ads: Is Less Always More?
KMB: Point of View (2013)
6. Lipstein, B.: A Mathematical Model of Consumer
Behavior. Journal of Marketing Research. 2(3),
259265 (1965). doi:10.1177/002224376500200305
7. Cosgun, O., Gultas, I., Serarslan, M.N.: Application
of a mathematical model to an advertisement
4
SHS Web of Conferences 65, 04022 (2019) https://doi.org/10.1051/shsconf/20196504022
M3E2 2019
reservation problem. An International Journal of
Optimization and Control: Theories & Applications
(IJOCTA). 3(1), 2333 (2013).
doi:10.11121/ijocta.01.2013.00133
8. Lutoshkin, I., Yamaltdinova, N.: The Dynamic
Model of Advertising Costs with Continuously
Distributed Lags. CEUR Workshop Proceedings.
2018, 103112 (2017)
9. Zhao, B., Li, Y.K., Lui, J.C.S., Chui, D.:
Mathematical Modeling of Advertisement and
Influence Spread in Social Network.
http://netecon.seas.harvard.edu/NetEcon09/Papers/Z
hao_09.pdf (2009). Accessed 21 Mar 2019
10. Chernousova, Zh.T.: Modeling an effective strategy
of Advertising Investments of Firm in The
Competitive Market. Economical Review of NTUU
“KPI”. 15, 512519 (2018)
11. Nan, X., Faber, R.J.: Advertising theory:
Reconceptualizing the building blocks. MT. 4(1-2),
7–30 (2004). doi:10.1177/1470593104044085
12. Ippolito, R.A.: Consumer Reaction to Measures of
Poor Quality: Evidence From The Mutual Fund
Industry. The Journal of Law & Economics. 35(1),
4570 (1992)
13. Lee, A.M., Burkart, A.J.: Some Optimization
Problems in Advertising Media Planning. OR.
11(3), 113122 (1960). doi:10.2307/3007052
14. Shih, W.: Optimal Inventory Policies When
Stockouts Result From Defective Product.
International Journal of Production Research. 18(6),
677686 (1980). doi:10.1080/00207548008919699
15. Resnik, A., Stem, B.L.: An Analysis of Information
Content in Television Advertising. Journal of
Marketing. 41(1), 50–53 (1977).
doi:10.2307/1250490
16. Nelson, P.: Advertising of information. Journal of
Political Economy. 82(4), 729–754 (1974).
doi:10.1086/260231
17. Andrews, C., Netemeyer, R.G., Burton, S.:
Consumer Generalization of Nutrient Content
Claims in Advertising. Journal of Marketing. 62(4),
6275 (1998). doi:10.2307/1252287
18. Faber, R.J., Lee, M., Nan, X.: Advertising and the
Consumer Information Enviroment Online.
American Behavioral Scientist. 48(4), 447-466
(2004). doi:10.1177/0002764204270281
19. Donnely, J.H.Jr.: Attitude toward Culture and
Approach to International Advertising. Journal of
Marketing. 34(3), 6063 (1970).
doi:10.1177/002224297003400312
20. Scholten, M.: Lost and Found: The Information-
processing Model of advertising effectiveness.
Journal of Business Research. 37(2), 97104 (1996).
doi:10.1016/0148-2963(96)00058-6
21. Wies, S., Hoffmann, A.O.I., Aspara, J., Pennings,
J.M.E.: Can Advertising Investment Counter the
Negative Impact of Shareholder Complaints on Firm
Value? Journal of Marketing (2019).
doi:10.1177/0022242919841584
22. Sternthal, B., Craig, C.S.: Humor in Advertising.
Journal of Marketing. 37(4), 1218 (1973).
doi:10.2307/1250353
23. Taylor, C.R.: How to Avoid Marketing Disaster:
Back to the Communications Model, But with Some
Updates Illustrating the Importance of E-Word-of-
Mouth Research. International Journal of
Advertising: The Review of Marketing
Communications. 36(4), 515519 (2017).
doi:10.1080/02650487.2017.1323406
24. Goodwin, S., Etgar. M.: An Experimental
Investigation of Comparative Advertising: Impact of
Message Appeal, Information Load, and Utility to
Product Class. Journal of Marketing Research.
17(2), 187202 (1980).
doi:10.1177/002224378001700203
25. Till, B.D., Shimp, T.A.: Endorsers in Advertising:
The Case of Negative Celebrity Information. Journal
of Advertising. 27(1), 67–82 (1998)
26. Wolfe, S.M.: Direct-to-Consumer Advertising
Education or Emotion Promotion? The New
England Journal of Medicine. 346, 524526 (2002).
doi:10.1056/NEJM200202143460713
27. Lavidge, R.J., Steiner, G.A.: A Model For
Predictive Measurements of advertising
Effectiveness. Journal of Marketing. 25(6), 5962
(1961). doi:10.2307/1248516
28. Reichert, T.: Sex in Advertising Research: A
Review of Content, Effects, and Functions of Sexual
Information in Consumer Advertising. Annual
Review of Sex Research. 13(1), 241273 (2002)
29. Zielske, H.A.: The Remembering and Forgetting of
Advertising. Journal of Marketing. 23(3), 239243
(1959). doi:10.2307/1248262
30. Ullah, N., Hussain, M.: Impact of Unethical
Misleading Information or Deceptive Advertising on
Customer Purchasing Intention with Mediating
Effect of Word of Mouth: Case of Pakistan.
International Journal of Innovation and Economic
Development. 1(4), 49-69 (2015).
doi:10.18775/ijied.1849-7551-7020.2015.14.2005
31. Feichtinger, G., Hartl, R.F., Sethi, S.P.: Dynamic
Optimal Control Models in Advertising: Recent
Developments. Management Science. 40(2), 195
226 (1994)
32. Smith, R.E., Yang, X.: Toward a General Theory of
Creativity in Advertising: Examining the Role of
Divergence. Marketing Theory. 4(1-2), 3158
(2004). doi:10.1177/1470593104044086
33. Becker, G.S., Murphy, K.M.: A Simple Theory of
Advertising as a Good or Bad. The Quarterly
Journal of Economics. 108(4), 941946 (1993).
doi:10.2307/2118455
34. Mikołajczak-Degrauwe, K., Brengman, M.: The
Influence of Advertising on Compulsive Buying
5
SHS Web of Conferences 65, 04022 (2019) https://doi.org/10.1051/shsconf/20196504022
M3E2 2019
The Role of Persuasion Knowledge. J Behav Addict.
3(1), 6573 (2014). doi:10.1556/JBA.2.2013.018
35. Braun-LaTour, K.A., LaTour, M.S., Pickrell, J.E.,
Loftus, E. F.: How and When Advertising Can
Influence Memory for Consumer Experience.
https://scholarship.sha.cornell.edu/cgi/viewcontent.c
gi?article=1319&context=articles (2004). Accessed
21 Mar 2019
36. Zeng, F., Tao, R., Yang, Y., Xie, T.: How Social
Communication Influence Advertising Perception
and Response in Online Communicaties? Front
Psychol. 8, 1349 (2017).
doi:10.3389/fpsyg.2017.01349
37. Bongard, M.M.: Pattern Recognition. Spartan
Books, Rochelle Park (1970)
38. Schwartz, R.N., Townes, C.H.: Interstellar and
Interplanetary Communication by Optical Masers.
Nature. 190, 205208 (1961)
39. Gerasymenko, A.G.: Informative Advertising: A
Market Information Provider or a Seed of Market
Power? Ecoforum Journal. 1(1).
http://ecoforumjournal.ro/index.php/eco/article/view
/20 (2012). Accessed 21 Mar 2019
40. Acerbi, A., Tennie, C.: The Role of Redundant
Information in Cultural Transmission and Cultural
Stabilization. J Comp Psychol. 130(1), 6270
(2016). doi:10.1037/a0040094
41. Zain-Ul-Abideen, Saleem, S.: Effective advertising
and its Influence on Consumer Buying Behavior.
European Journal of Business and Management.
3(3), 114119 (2012)
42. Burton, J.L., Collins, J., McNeely, L.E., Walls,
D.M.: Revisiting the Relationship between Ad
Frequency and Purchase Intention. Journal of
Advertising Research. 82(4), 729-754 (2019).
doi:10.2501/JAR-2018-031
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... A certain contribution to the development of uncertainty assessment methods was made by Ukrainian researchers. In report [10] it is proposed an information model of the functioning of advertising. There is introduced ideas about useful and harmful (excess) information. ...
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Possibilities and methods of applying the concept of uncertainty in order to assess the quality of control are investigated. An analysis of the approaches currently used for uncertainty assessment is carried out. The use of the informational approach for this purpose is substantiated. It is proposed to use informational uncertainty as a criterion for the quality of control tools. For this, the amount of negative information (misinformation) caused by the imperfection of management methods and devices is calculated. The method of estimating the amount of misinformation is based on Bongard's concept of uncertainty. Misinformation is considered as Bongard's negative useful information. The amount of misinformation is the difference between the Shannon entropy and the Bongard's uncertainty and is used as a criterion for absolute information uncertainty. The criterion of relative information uncertainty is also proposed as the ratio of the amount of misinformation introduced by the control tool to the maximum possible value of misinformation. The maximum value is the amount of misinformation at zero Shannon entropy. Mathematical expressions for calculating the absolute and relative uncertainty of control systems are given. Formulas for calculating deterministic analogs of Shannon's entropy and Bongard's uncertainty are proposed to assess the quality of control tools that are investigated by non-statistical methods. Appropriate expressions for calculating criteria of absolute and relative uncertainty based on transient processes of control systems are derived. The practical use of the proposed method is shown. To demonstrate the use of the criterion of information uncertainty, simulation of the PID controller was carried out using Scilab/Xcos tools. The vectors of input and output values obtained as a result of modeling were processed using the formulas introduced in this article. The criterion of relative information uncertainty was applied to compare the quality of PID controllers that were discretized by different methods. Анотація. Досліджуються можливості та методи використання концепції невизначеності з метою оцінки якості управління. Виконаний аналіз підходів, що нині використовуються для оцінки невизначеності. Обґрунтовується використання з цієї метою інформаційного підходу. Пропонується використовувати інформаційну невизначеність як критерій якості засобів керування. Для цього розраховується кількість негативної інформації (дезінформації), що спричиняється недосконалістю методів та пристроїв керування. Метод оцінки кількості дезінформації заснований на концепції невизначеності Бонгарда. Дезінформація розглядається як негативна корисна інформація Бонгарда. Кількість дезінформації є різницею між ентропією Шеннона і невизначеністю Бонгарда і використовується як критерій абсолютної інформаційної невизначеності. Запропонований також критерій відносної інформаційної невизначеності як відношення кількості внесеної засобом керування дезінформації до її максимально можливого значення. За максимальне значення береться кількість дезінформації при нульовому значенні ентропії Шеннона. Наведені математичні вирази для розрахунку абсолютної і відносної невизначеності систем керування. Для оцінки якості керуючих засобів, які досліджуються нестатистичними методами, запропоновані формули для розрахунку детермінованих аналогів ентропії Шеннона і невизначеності Бонгарда. Виведені відповідні вираження для розрахунку критеріїв абсолютної і відносної невизначеності на основі перехідних процесів систем керування. Показане практичне використання запропонованого методу. Для демонстрації використання критерію інформаційної невизначеності було проведено моделювання ПІД-регулятора засобами Scilab/Xcos. Отримані в результаті моделювання вектори значень вхідних і вихідних величин оброблялись за допомогою введених у цій статті формул. Критерій відносної інформаційної невизначеності був застосований для порівняння якості ПІД-регуляторів, які були дискретизовані різними методами. Introduction. During the analysis and synthesis of control systems, the task of assessing the effectiveness and quality of systems arises. Today, there are many criteria of effectiveness and quality, which are often contradictory. To assess the quality of control, the following are used: overshoot, oscillation, duration of the transient process, settling time, time to reach the first maximum of the controlled value, stability margin, response speed, frequency of natural oscillations of the system, etc. Improving one indicator leads to deterioration of another. It would be more convenient to have a single universal criterion that provides a comprehensive assessment of the quality of control tools. Thus, there is a need to develop a universal criterion for assessing the accuracy of the production of control influences, which would allow taking into account various factors affecting the quality of the designed control system. It is known that a high degree of generalization of patterns and phenomena in a wide variety of areas is achieved by using methods and concepts of information theory. This allows one to abstract from specific physical processes occurring in the designed system. Many researchers view information as a methodological basis for generalization and simplification. It is necessary to analyze information processes, estimate the amount of information circulating in the system, and calculate the degree of its distortion. Such characteristics of control systems as complexity, orderliness, organization and entropy are used. However, such approaches have not found wide application in the practice of analysis and synthesis of control systems. Lately the Uncertainty Approach (UA) has become established in measurement theory. But uncertainty is not only found in measurements. To a large extent, this concept also applies to problems of control. The expediency of using UA also arises in relation to the quality of controls. In paper [1], a similar problem was solved for assessing the quality of measuring instruments. It was proposed to use the information criterion. There is introduced the concept of information uncertainty, which is estimated by the amount of negative useful information, that is, misinformation introduced by the measuring instrument. This approach is also useful for solving problems of analysis and synthesis of control systems. Literature review. Since Shannon introduced the concept of information entropy as a quantitative measure of the uncertainty of some source of information, a large number of researchers have proposed a number of other approaches to estimate the uncertainty. The first push for this was made by Alfrped Renyi in his report at the 4th Berkeley Symposium [2]. He considered the problem of estimation of amount of uncertainty of the distribution ℘, that is, the amount of uncertainty concerning the outcome of an experiment, the possible results of which have the probabilities p1, p2, …, pn. Renyi pointed out that the Shannon entropy
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