RU159360U1 - INFORMATION AND ANALYTICAL SYSTEM OF RESEARCH OF POSSIBILITIES OF DEESCALATION OF CONFLICT IN CHANGING CONDITIONS OF MULTILATERAL NEGOTIATION PROCESS - Google Patents

Abstract

An information-analytical system for studying the possibilities of de-escalation of a conflict in the changing conditions of a multilateral negotiation process, containing combined units, control units and linearization of the transfer characteristics of multichannel converters, characterized in that a logical unit, a memory unit, as well as control units, including turn counters and conversion blocks; a logical block 1 having an output, the output of a logical block 1 is connected to the input 1 of the combined block 2 and the inputs 1 of the other (N - 1) combined blocks 2 '; combined block 2 having 2 inputs and an output, input 1 of combined block 2 is connected to the output of logical block 1, input 2 of the combined block 2 receives data from the external environment, the output of combined block 2 is connected to input 1 of the control unit and linearization of transfer characteristics 4; control unit 3 having N inputs and an output, input 1 of control unit 3 is connected to output 1 of the control and linearization block of transfer characteristics 4, (N-1) inputs 2 of control unit 3 are connected to (N-1) duplicate outputs of 2 control units and linearization of the transfer characteristics 4 'to correct the state used in the control and linearization units, transfer characteristics of the sensors, the output of the control unit 3 is connected to the input 2 of the control and linearization of the transfer characteristics 4; control unit and linearization of transfer characteristics 4 has 2 inputs and (N + 1) outputs, input 1 of control and linearization of transfer characteristics 4 is connected to the output of the combined unit 2, input 2 of control and linearization of transfer characteristics 4 is connected to the output of the control unit

Description

The information-analytical system for studying the possibilities of de-escalation of the conflict in the changing conditions of the multilateral negotiation process (hereinafter briefly - IAS) relates to automation and computer technology and can be used to solve research and a number of applied scientific and technical problems [8-10, 14] based on principles of immunology. The considered tools and methods mainly include [4, 13, 16]: systems based on the principles of immunity and bionics; components of artificial immune systems and expert membranes; evolutionary and immunological calculations, etc.

The field of application related generally to the functional tasks of a tool equipped with an instrumental-modeling complex (IMC) [15] and IAS as part of an intellectual stand using the tools of the experimental language of radical schemes [4], mainly is a number of models presented in [5, 7 , 10, 12], the application of which brings to a qualitatively new level the design and modeling of group applications of the so-called unmanned (remotely piloted and / or controlled) aircraft, and also promising high-speed, complex rocket, aviation and aerospace products, systems and complexes for various purposes.

In this IAS, at the next stage, as well as in the associated IMC, in the study of control processes, the basic method of statistical estimation of the frequency of exposure to destabilizing factors [10] can be used in principle by means of a hardware-based procedure based on an algorithm for detecting anomalies of an artificial immune system - the so-called . negative selection procedures [13].

In mathematical cybernetics, devices are known that make it possible to implement very different in nature physical implementations of informal models of intelligent data processing [1-5, 7, 9, 13].

In practice, the most common is the identification problem using probabilistic recognition systems, which allows for implementation in the identification process, including and when modeling recognition, a number of possibilities of the statistical test method, in our case - using the so-called regenerative models [7, 12, 13].

The desired flexibility of the control structure in promising implementations of aviation and aerospace robotic systems can be achieved on the basis of interdisciplinary research [14] of the possibilities of directly applying fundamentally new solutions to hybrid robotic systems and methods for diagnosing their condition [16].

The need to switch control modes is determined by the use of diagnostic tools of various directions [2-4, 12].

The principles of operation and some properties of a multi-channel feedback matrix structure are known.

This feedback matrix is a device of the Steinbuch matrix type [1, 3], in which feedback between the horizontal and vertical bars is formed through the normalization block. The presence of an iterative process makes it possible to use the specified feedback matrix also as a generator of multidimensional sequences.

Obtaining a sequence with desired characteristics can be achieved by selecting the composition of the matrix elements and the set of start signals. Such an association will provide not only an arbitrary flexible restructuring of the relationships in the model, but also organize modeling of the SDO recognition procedure within the structure without increasing the number and complexity of the relationships.

However, when using this tool as a standard for logical recognition systems as part of a multi-channel matrix-structured device with feedback when modeling the process of identifying LMS in practice, as a rule, the used characteristics of the a priori data are not sufficient for the subsequent assessment of the rate of exposure to destabilizing factors [2, 3 , 10].

The closest in purpose and technical essence is a device for monitoring and linearizing the transfer characteristics of multichannel converters [2, 3], which provides functional diagnostics of controlled multichannel converters; the device comprises a converter fault detection unit, a converter characteristics calculation unit, an inverter and a switch connected to the converters.

Among the main drawbacks of the sought-after tool, which is applicable in principle when creating interference-invariant linear converters, is the pre-emption of possible situations of complex (compound) impact on the simulated object within the framework of an intelligent stand when studying the stage of de-escalation of the conflict in the changing conditions of the multilateral negotiation process (after switching preset control modes in the group at the previous stage [15]) with the desired disposition for the studied process of controlling external means that are not allow modeling of multichannel converters with the required quality in case of events that are close to statistically irreversible transformation [10].

The main purpose of this utility model is to expand functionality by developing the capabilities of IMC at the next stage of US application, allowing to prevent situations of complex (compound) impact of destabilizing factors on the simulated object - by applying a cascade of fragments of the same type

equipped with a smart stand, including a logical unit, a memory unit, etc., using control units [16, p. 24], a multi-channel device of a matrix structure with feedback, a device for monitoring and linearizing the transfer characteristics of multi-channel converters, etc. for the indicated research problems and experiments, in t .h. mainly in the application to the aforementioned robotic complexes of the aerospace industry.

This goal is achieved by the fact that when modeling the basic procedure for recognizing a complex dynamic object, a logical block, combined blocks [15], control blocks (with conversion blocks) [16], a memory block and new connections between the specified equipment of the cascade are additionally introduced into the device in a new sequence .

An information-analytical system for studying the possibilities of de-escalation of a conflict in the changing conditions of a multilateral negotiation process, comprising a logical block 1, combined blocks 2 [15], control and linearization blocks of the transfer characteristics of multi-channel converters 4, with additionally introduced control blocks 3 [16] (including counters 6 and conversion units 7) and memory unit 5, respectively, includes in its composition the necessary (at least 2) number N of these components, which are shown in figure 1 (d I functionally independent option [3, 15]).

A functionally independent (outside the cascade) component of the device for modeling multichannel converters operates in the main modes of the prototype operation (precedes in the utility model [3-5, 7, 15]: the device for modeling the basic recognition procedure for a complex dynamic object). At the same time, the newly introduced conversion units as part of these control units provide data conversion from all (external) control and linearization of transfer characteristics of multichannel converters in the synthesized cascade.

The information-analytical system for studying the possibilities of de-escalation of the conflict in the changing conditions of the multilateral negotiation process is schematically shown in FIG. 1 and in its composition, respectively, contains:

- a logical block 1 having an output, the output of a logical block 1 is connected to the input 1 of the combined block 2 and all other first inputs (Ν-1) of the combined blocks 2 ′;

- combined block 2 having 2 inputs and an output, input 1 of combined block 2 is connected to the output of logical block 1, input 2 of the combined block 2 receives data from the external environment, the output of combined block 2 is connected to input 1 of the control unit and linearization of transfer characteristics 4 ;

- control unit 3 having N inputs and an output, input 1 of control unit 3 is connected to output 1 of the control unit and linearization of transfer characteristics 4, (N-1) inputs 2 of control unit 3 are connected to (N-1) duplicate outputs of 2 control units and linearization of the transfer characteristics 4 ', the output of the control unit 3 for correcting the state of the sensors (as part of the control and linearization of the transfer characteristics) is connected to the input 2 of the control and linearization of the transfer characteristics 4;

- the control unit and linearization of the transfer characteristics 4 has 2 inputs and N + 1 outputs, the input 1 of the control unit and linearization of the transfer characteristics 4 is connected to the output of the combined unit 2, the input 2 of the control unit and linearization of the transfer characteristics 4 is connected to the output of the control unit 3,

output 1, as well as N-1 of duplicate outputs 2, control unit and linearization of transfer characteristics 4, respectively, is connected (connected) to inputs 2 of control unit 3 (3 ′),

the output Ν + 1 of the control unit and linearization of the transfer characteristics 4 displays the results of the control and linearization of the transfer characteristics, which, in turn, are input to the memory unit 5;

- (Ν-1) combined blocks 2 ′ having 2 inputs and an output, input 1 of combined block 2 ′ is connected to the output of logic block 1, input 2 of combined block 2 ′ receives data from the external environment, the output of combined block 2 ′ is connected to input 1 of the control unit and linearization of the transfer characteristics 4 ′;

- (Ν-1) control units 3 ′, with N inputs and an output, input 1 of control unit 3 ′ is connected to output 1 of the control and linearization of transfer characteristics 4 ′, (Ν-1) inputs 2 of control unit 3 ′ are connected to ( Ν-1) the duplicate outputs of 2 control units and linearization of the transfer characteristics 4 ′ (4), the outputs of the control units 3 ′ are connected to the inputs of 2 control units and linearize the transfer characteristics 4 ′;

- (Ν-1) control units and linearization of the transfer characteristics 4 ′ have 2 inputs and Ν + 1 outputs, while the control and linearization units of the transfer characteristics 4 ′ similarly organize the indicated ones, as in the control and linearization unit of the transfer characteristics 4 , communications as part of the formed cascade;

- a memory unit 5 having N inputs and an output, the inputs of the memory unit 5, respectively, are connected to the outputs Ν + 1 of the control and linearization blocks of the transfer characteristics 4 (4 ′), the output of the memory unit 5 provides the use of the received data by external means and in the figure does not given;

- Ν counters 6 having each input and output as part of control units 3 (3 ′), the input of counter 6 is connected to the output 1 of the control unit and linearization of the transfer characteristics of multichannel converters 4 (4 ′), the output of the counter 6 is connected to input 1 of the conversion unit 7;

- преобразования conversion blocks 7, each having N inputs and an output as part of control blocks 3 (3 ′), the inputs of conversion block 7, respectively, are connected to the outputs 2 (duplicate outputs) of the control and linearization of transfer characteristics 4 (4 ′), output the conversion unit 7, respectively, is connected to the input 2 of the control units and linearization of the transfer characteristics 4 (4 ′).

In the scientific and technical literature, no technical solutions with the indicated essential features were found, which allows us to conclude that it is new. No devices were found in which the goal would be achieved by the entire newly introduced set of essential features, which allows us to conclude that there is a sufficient level of supply in the design of the presented utility model.

The information-analytical system for studying the possibilities of de-escalation of the conflict in the changing conditions of the multilateral negotiation process is illustrated by drawings and explanations, where in FIG. 1 is a structural diagram of a hypothetical interacting pair of functionally independent components of IAS.

Additional illustrations of the utility model are shown in FIG. 2-5:

In FIG. 2 and 3, respectively, an explanation of the principle of operation on the basis of a functionally independent component of a device for modeling multi-channel converters (IMC) is presented and the construction of a device for modeling multi-channel converters as a whole (from the same components [2, 3, 15]) is presented. In FIG. Figure 4 presents an example of a demonstration version of the initial data in assessing unilateral steps in the problematic field of de-escalation of the conflict in the changing conditions of the multilateral negotiation process [14]. Also in FIG. 5 shows a multi-channel feedback matrix device [1].

In the present application for a utility model, the previously obtained technical solution of the IMC is developed [15]. At the same time, the constructive essence of the basic fragment of the smart stand reflects a two-level control structure based on the operator of the inter-level transition [4, 5, 9] in preparation for the onset of critical events [6], which reduces to the implementation of the principle of non-final decision making when evaluating the expected impact in various operating modes shown set of fragments of equipped smart stand.

However, the functionality of the IMC also implies a multi-level hierarchy of control processes, which is ultimately reduced to the indicated two-level scheme for a given disposition of complex dynamic objects (SDOs) in the group.

That is, IMC formalizes the relationship of sensory and behavioral components of the intelligent control of SDO in the group [4, 9, 13]; moreover, the main concept of the presented utility model is aimed at describing a two-level structure, where the upper “layer” reflects the “interests” of the group, and the lower - pairwise “associations”; and which corresponds to each LMS in a specific disposition.

In this application for a useful model, the technical solution of IAS is focused on the implementation of the next stage [14] of the functioning of the intelligent stand [4-16]. The information-analytical system for studying the possibilities of conflict de-escalation in the changing conditions of the multilateral negotiation process works in accordance with the description of a functionally independent (outside the cascade) component in the main operating modes of the device for modeling the recognition procedure of a complex dynamic object [2, 3, 15].

A key feature of the functioning of IAS, unlike IMC [15], when simulating conflict de-escalation capabilities [14] is the use of a control unit [16], which allows using sensors 6 and conversion units 7 to adjust sensor settings [2] (see Fig. 3 ) in hypothetical and close to real conditions of the multilateral negotiation process [17].

Otherwise, the description of the operation of the IAS basically corresponds to the functioning of the IMC [15]. In particular, for the considered operating modes, the IMC provides, respectively, - the functioning of the intelligent stand as a whole in the normal operating mode of the device Titova VB for monitoring and linearizing the transfer characteristics of multichannel converters, see FIG. 1-3 [2, 3]; the emergency mode of operation of the device for monitoring and linearizing the transfer characteristics of multichannel converters is key in the functional purpose of the proposed device, the transition to which (operating mode) occurs after exceeding the threshold number of operation of the counter of the number of switchings; the desired output data for the memory block (cascade) are the readings of the counters, as well as the control and linearization blocks of the transfer characteristics of the multi-channel converters.

Thus, it seems possible to judge the presence of threats and the level of danger in the environment of the functioning of the supersystem by the degree of manifestation of the desired property during the operation of the described cascade, which ensures that in principle there are possible situations of complex (compound) impact on the simulated object within the framework of an intelligent stand when switching the specified control modes in the group with the necessary disposition for the studied process of managing external means (at the useful model stage of the study of the possibilities of de-escalation of the conflict in the changing conditions of the multilateral negotiation process), with the required quality in the event of occurrence of phenomena that are close, in fact, to statistically irreversible transformations [3, 10, 11, 14].

So, the dangers of functioning are manifested when destabilizing factors arise during the performance of individual and specific functional operations of a number of developed complexes [4, 8, 9, 11, 13, 14]. With the accumulation of information about destabilizing factors that occurred during such operations in preparation for the onset of critical events [7, 10, 13, 17], there is an urgent opportunity to estimate the frequency indicator of destabilizing factors from the accumulated (in the process of ongoing complex experimental studies) statistical data [3, 10-13, 16].

Under the statistical evaluation of the indicator of the frequency of exposure refers to the numerical value of this indicator, calculated from the results of observations of these operations on the basis of the specified operator inter-level transition. As practically feasible for implementation (and already implemented in a series of previous technical solutions [1, 2, 3, 9, 11, 13]), an approach is used, which is a method of statistical estimation of an indicator of the frequency of exposure to destabilizing factors [10]. The method of operation of the declared IMC, which implements the equipment of an intelligent stand by means of hardware implementation of the negative selection procedure (based on the application of an algorithm for detecting anomalies of the artificial immune system), also comes down to the implementation of the principle of non-final decision-making in assessing the expected impact by counting the number of switchings of the previously described malfunction detection subunit [2 , 3, 15].

The calculation example, including the newly cited content of the utility model, fully corresponds to the analogue considered in [2, 3].

This example was given among the possible prerequisites and options for statistical estimation of the frequency of exposure to destabilizing factors by means of IAS in critical conditions. And it seems obvious that in the preferred embodiments, changes and modifications can be made without departing from the scope of the present utility model, using a larger number of the same type of fragments of the cascade already described in the formula when pairing multichannel converters, as well as using a number of other similar statistical statistics and simulation methods [18-35].

List of main sources used

1. Auth. USSR certificate No. 262494. Learning matrix. Hakobyan R.A., Agamalova M.A. "Discoveries, inventions, industrial designs, trademarks." 1969, No. 6.

2. Auth. USSR certificate No. 1675854. G05B 23/02. Device Titova V.B. for monitoring and linearizing the transfer characteristics of multichannel converters. Titov V.B., Rusinov K.A. 1989.

3. Rozhnov A.V., Shchitov A.Yu., Belavkin P.A., Kublik E.I., Burlaka A.I. Device for modeling the recognition procedure of a complex dynamic object 7 IPC G05B 23/02. Utility Model Patent RUS 61044. Prior. 11/16/2006. Zareg. 02/10/2007.

4. The language of radical schemes: methods, algorithms / ed. A.V. Chechkina A.V. Rozhnova. Collective monograph. Part 1. M: Radio engineering, 2008. ISBN 978-5-88070-199-5.

5. Radchenko A.N. Modeling of the basic mechanisms of the brain, L .: Nauka, 1968.

6. Krapivin V.F. On the theory of survivability of complex systems. - M.: Science, 1978.

7. M. Crane, O. Leuman. Introduction to the regenerative method of model analysis. - M.: Science, 1982.

8. Vasiliev V.Α., Mukhin V.I. U.S. strategic defense initiative and layered missile defense. - M., Ministry of Defense of the USSR, 1990.

9. Vasiliev C.H., Zherlov A.K., Fedosov E.A., Fedunov B.E. Intelligent control of dynamic systems. - M .: Fizmatlit, 2000.

10. Electromagnetic compatibility and simulation of information and communication systems. - M.: Radio and Communications, 2002.

11. Kanaschenkov A.I., Merkulov V.I., Samarin O.F. The appearance of promising airborne radars: capabilities and limitations. - M .: IPRZhR, 2002.

12. Polous A.I., Volkov A.G. Intelligent methods and models for diagnosing RTS. - M .: VA Strategic Rocket Forces named after Peter the Great, 2005.

13. Artificial immune systems and their use / ed. D. Dasgupta. Per. from English under the editorship of A.A. Romance. - M .: Fizmatlit, 2006.

14. Annenkov V.I., Baranov C.H., Kononov L.A. The theoretical foundations of nuclear geopolitics. M .: RUSAVIA, 2012.

15. Bazhanov O.V., Rozhnov A.V., Lobanov I.A., Abrosimov V.K., Zakharov V.L. Instrument-modeling complex for studying control processes and dispositions of a complex dynamic object in a group. Utility Model Patent RU 141445 U1. - M .: MAI, 2013.

16. Kuznetsova V.L., Rakov M.A. Self-organization in technical systems. - K .: Science. Dumka, 1987.

17. Krivonozhko V.E., Piskunov A.A., Lychev A.V., Piskunova M.A. Models and methods of decision support in the negotiation process // Artificial Intelligence and Decision Making. 2010. No1. S. 57-67.

18. Belavkin P.A., Fedoseev S.A., Rozhnov A.V., Lobanov I.A. The study of strategic mobility of problem-oriented control systems and their positioning in the development of the information space // News of SFU. Technical science. 2013. Thematic issue "Perspective Systems and Management Tasks", No. 3. S. 211-217.

19. Rozhnov A.V., Belavkin P.Α., Kupach O.S., Lobanov I.A. Justification of the method of constructing a rational hierarchy and a stratified model of a problem-oriented management system in the conditions of incomplete source data / Sixth All-Russian Multi-Conference on Management Issues (September 30 - October 5, 2013) // Materials of the multi-conference: in 4 t. Rostov n / D: Publishing House of SFU, 2013.V. 3.P. 50-54.

20. Khokhlachev E.N., Osipov P.Α., Rozhnov A.V., Karpov V.V., Chernyavsky D.V., Kamenev A.I. The method of sending messages. Patent for invention RUS 2236755 05/30/2002.

21. Gorshenev G.Α., Rozhnov A.V., Fedyanin A.S. A device for determining the magnitude of the shortest path in a graph. Utility Model Patent RUS 61409, 11/09/2006.

22. Rozhnov A.V., Bikeev S.I., Proshin D.S., Gibadullin A.R. Instrument-modeling complex for the study of regenerative processes with discrete time based on the negative selection procedure. Patent for invention RUS 2420802, 02/13/2009.

23. Rozhnov A.V., Proshin D.S., Oleinik Α.Α., Zaletdinov A.V., Lepeshkin O.M., Budko N.P. A device for modeling the recognition procedure of a complex dynamic object on a time interval. Patent for invention RUS 2427873 01/22/2010.

24. Budko N.P., Budko P.Α., Vinogradenko A.M., Doroshenko G.P., Rozhnov A.V., Mineev V.V., Mukhin A.V. The method of distributed control and adaptive control of a multi-level system and device for its implementation. Patent for invention RUS 2450335, 07/11/2011.

25. Rozhnov A.V., Gubin A.N., Mikhailov P.Α., Belavkin P.A. Formation of military computing systems and complexes at the dawn of strategic missile forces. Neurocomputers: development, application. 2010, No. 11. S. 63-69.

26. Rozhnov A.V. Some problematic issues of system integration of research areas in the tasks of neurocomputing // Neurocomputers: development, application. 2014, No 1. S. 3-9.

27. Krivonozhko V.E., Rozhnov A.V., Lychev A.V. Construction of hybrid intelligent information environments and components of expert systems based on a generalized model for analyzing the functioning environment // Neurocomputers: development, application. 2013, No.6. S.3-12.

28. Rozhnov A.V., Lobanov I.A., Bimakov E.V. Justification of system integration tasks and information-analytical modeling of problem-oriented control systems at the pre-project stage of the life cycle // XII All-Russian meeting on management problems. - M.: IPU RAS, 2014.

29. Rozhnov A.V., Savitsky A.S., Balandin A.E., Bikeev S.I. Mathematical and software aspects of ultra-equipment of an invariant information processing scheme based on instrumental-modeling complex // Neurocomputers: development, application. 2008, No. 7. S. 36-37.

30. Rozhnov A.V., Lychev A.V. Investigation of the functioning environment and tasks of a multidisciplinary situational center // Materials of the 21st scientific and technical conference "Security Systems - 2012" (Moscow). M .: Academy of the State Fire Service of the Ministry of Emergencies of Russia, 2012.S. 88-90.

31. Makarov A.A. Methods and models of coordination of hierarchical decisions. - Novosibirsk: Science, 1979.

32. Kupach O.S., Rozhnov A.V., Gudov G.N. Diversification of the technology for analyzing the functioning environment in applied services of geoinformational intelligent systems / Sixth All-Russian Multi-Conference on Management Issues (September 30 - October 5, 2013) // Materials of the multi-conference: in 4 volumes. Divnomorskoe: Publishing House of SFU, 2013. V. 4 ( URiSS-2013). S. 59-62.

33. Lobanov I.Α., Ivanova I.N., Rozhnov A.V., Pavlovsky I.S. Visualization tool for homogeneous conceptual models. Certificate of official registration of the computer program No. 20144610356. - M., 2014.

34. Rozhnov A.V., Antioch G.M., Seliverstov D.E., Kublik E.I. System integration of research areas in the context of the formation of pre-intellectual infrastructure // Information-measuring and control systems. 2014, No. 11.

35. Baryshev P.F., Rozhnov A.V., Lobanov I.Α., Gubin A.N. Justification of the information-analytical system in the development of methods and models for harmonizing hierarchical decisions // Dynamics of complex systems: XXI century. 2014, No 3.

Claims (1)

An information-analytical system for studying the possibilities of de-escalation of a conflict in the changing conditions of a multilateral negotiation process, containing combined units, control units and linearization of the transfer characteristics of multichannel converters, characterized in that a logical unit, a memory unit, as well as control units, including turn counters and conversion blocks; a logical block 1 having an output, the output of a logical block 1 is connected to the input 1 of the combined block 2 and the inputs 1 of the other (N - 1) combined blocks 2 '; combined block 2 having 2 inputs and an output, input 1 of combined block 2 is connected to the output of logical block 1, input 2 of the combined block 2 receives data from the external environment, the output of combined block 2 is connected to input 1 of the control unit and linearization of transfer characteristics 4; control unit 3 having N inputs and an output, input 1 of control unit 3 is connected to output 1 of the control and linearization block of transfer characteristics 4, (N-1) inputs 2 of control unit 3 are connected to (N-1) duplicate outputs of 2 control units and linearization of the transfer characteristics 4 'to correct the state used in the control and linearization units, transfer characteristics of the sensors, the output of the control unit 3 is connected to the input 2 of the control and linearization of the transfer characteristics 4; control unit and linearization of transfer characteristics 4 has 2 inputs and (N + 1) outputs, input 1 of control and linearization of transfer characteristics 4 is connected to the output of the combined unit 2, input 2 of control and linearization of transfer characteristics 4 is connected to the output of control unit 3, output 1, as well as (N-1) duplicate outputs 2, control unit and linearization of transfer characteristics 4, respectively, is connected to inputs 2 of control unit 3 (3 '), to output (N + 1) of control unit and linearization of transfer characteristics 4 re output ultaty control and linearization transfer characteristics which arrive in turn to the input of the storage unit 5; (N-1) combined blocks 2 'having 2 inputs and an output, input 1 of combined block 2' is connected to the output of logic block 1, input 2 of combined block 2 'receives data from the external environment, the output of combined block 2' is connected to the input 1 control unit and linearization of the transfer characteristics 4 '; (N-1) control units 3 'having N inputs and an output, input 1 of control unit 3' is connected to output 1 of the control unit and linearize the transfer characteristics 4 ', (N-1) inputs 2 of control unit 3' are connected to (N -1) the duplicate outputs of 2 control units and linearization of the transfer characteristics 4 '(4), the outputs of the control units 3' are connected to the inputs of 2 control units and linearize the transfer characteristics 4 '; (Ν-1) control units and linearization of the transfer characteristics 4 'have 2 inputs and (N + 1) outputs, while the control and linearization units of the transfer characteristics 4' similarly organize these, as with the control and linearization of the transfer characteristics 4, communication in the composition of the formed cascade; a memory unit 5 having N inputs and an output, the inputs of the memory unit 5, respectively, are connected to the outputs (N + 1) of the control and linearization blocks of the transfer characteristics 4 (4 '), the output of the memory unit 5 makes use of the received data by external means; Ν counters 6 having each input and output as part of control units 3 (3 '), the input of counter 6 is connected to the output 1 of the control unit and linearization of the transfer characteristics of multi-channel converters 4 (4'), the output of the counter 6 is connected to input 1 of the conversion unit 7 ; Преобразования conversion units 7, each having N inputs and an output as part of control units 3 (3 '), the inputs of the conversion unit 7, respectively, are connected to the redundant outputs 2 of all control and linearization units of the transfer characteristics 4 (4'), the output of the conversion unit 7 , respectively, connected to the input 2 of the control units and linearization of the transfer characteristics 4 (4 ').

Images