Some Kinds of Pseudo-Intelligent Control Systems for Selecting Trajectories of Flight Vehicles

2014 ◽  
Vol 598 ◽  
pp. 557-561 ◽  
Author(s):  
A.V. Proletarsky ◽  
K.A. Neusipin ◽  
Kai Shen

In order to effectively solve the problem of selection trajectories of flight vehicles, some pseudo-intelligent systems with functional structures were established. Moreover, systemogenesis of pseudo-intelligent control systems of flight vehicles was illustrated. Based upon the theory of P.K. Anoxin functional systems and self-organization algorithms, the perspective pseudo-intelligent control systems for all stages of systemogenesis can make a reality of the whole-life control of flight vehicles.

2019 ◽  
Vol 4 (9) ◽  
pp. 86-91
Author(s):  
Д. Владимиров ◽  
D. Vladimirov ◽  
Александр Воротников ◽  
Aleksandr Vorotnikov ◽  
Н. Ипатова ◽  
...  

The article discusses the possibilities and prospects of using digital technologies in the management of solid waste management system. The possibility of using intelligent control systems in this activity is shown.


Author(s):  
Batyrbek Suleimenov ◽  
Yelena Kulakova

Intelligent control systems are actively developing and can significantly reduce financial costs and improve the environmental performance of ore-dressing processes. Usage of intelligent control systems for gravitational enrichment allows to minimize costs and negative influence of ore tails on the environment, exclude losses of concentrate and energy resources in the ore-dressing process. The paper discusses the problems and prospects for the application of intelligent control systems of gravity concentration equipment. A structure of the control system and an intelligent model for determining the frequency of pulsation jigging machine based on fuzzy logic are proposed. The model is based on data obtained from experts, it is researched. The obtained results allow to judge about the prospects for the implementation of intelligent systems in the management of ore enrichment.


Author(s):  
Серій Ілліч Доценко

The five principles of self-organization of cybernetic systems are formed in classical cybernetics in the form of two hypotheses of N. Wiener and three hypotheses of W. R. Ashby. The main attention in the development of the theory of a functional system is given to its analysis as an integral unit, and the formation on its basis of the theories of intelligent systems. At the same time, no attention was left to the study of the principle of the mechanism for ensuring compliance with the result obtained and the project established for it. The conformity mechanism, which is formed as part of a functional system, is implemented on the basis of the principle of self-organization of the functional system’s activity at the stage of a future result project’s implementation through double sequential feedback through the “Action Results Acceptor” mechanism. Based on this principle, it is possible to formulate the law of self-organization of an intellectual system in the following form. For functional self-organization of an intelligent system based on a mechanism to ensure compliance with the result of an activity and its project, it is necessary to include an “Acceptor of an action result” in the feedback loop to match the result of an action, a project of a future result of an action, and a management team. The principles of self-organization formed in classical cybernetics turned out to be elements of the clarified single principle of the self-organization of functional systems activity. In this work, it was realized that the meaning of knowledge about the functional systems in the theory and the theory of dialogue control systems of two successive feedback loops and the mechanism of their combination in the “Acceptor of the results of action” was realized. It is thanks to these contours that the principle of functional self-organization of activities is implemented, the founders of classical cybernetics so stubbornly sought and from which they abandoned technical cybernetics. The task of the formation of the goal of the activity can be solved by knowing the mechanism of the formation of the project of a future result based on heuristic self-organization for physiological and cybernetic systems. The solution to this problem will ensure the formation of "smart things" in Industry 5.0. After all, “smart things” should be “intelligent”


2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Sergey Victorovich Ulyanov

In the first part of the article, two ways of fuzzy controller’s implementation showed. First way applied one controller for all links of the manipulator and showed the best performance. However, such an implementation is not possible in complex control objects, such as a planar redundant manipulator with seven degrees of freedom (DoF). The second way use of separated control when an independent fuzzy controller controls each link. The decomposition control due to a slight decrease in the quality of management has greatly simplified the processes of creating and placing knowledge bases. In this paper (Part II), the advantages and limitations of intelligent control systems based on soft computing technology described. To eliminate the mismatch of the work of separate independent fuzzy controllers, methods for self-organizing coordination control based on quantum computing technologies to create and design robust intelligent control systems for robotic manipulators with 3DOF and 7DOF described. Quantum fuzzy inference as quantum self-organization algorithm of imperfect KBs introduced. Quantum computational intelligence smart toolkit QCOptKBTMbased on quantum fuzzy inference applied. QCOptKBTM toolkit include quantum deep machine learning in on line. Successful engineering application of end-to-end quantum computing information technologies (as quantum sophisticated algorithms and quantum programming) in searching of solutions of algorithmic unsolved problems in classical dynamic intelligent control systems, artificial intelligence (AI) and intelligent cognitive robotics discussed. Quantum computing supremacy in efficient solution of intractable classical tasks as global robustness of redundant robotic manipulator in unpredicted control situations demonstrated. As result, the new synergetic self-organization information effect of robust KB design from responses of imperfect KBs (partial KB robustness cretead on toolkit SCOptKBTM in Pat I) fined.


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