scholarly journals Intelligent robust control of redun-dant smart robotic arm Pt II: Quantum computing KB optimizer

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Sergey Victorovich Ulyanov
Keyword(s):  
Quantum Computing ◽  
Control Systems ◽  
Intelligent Control ◽  
Fuzzy Inference ◽  
Knowledge Bases ◽  
Cognitive Robotics ◽  
Self Organization ◽  
Classical Dynamic ◽  
Intelligent Control Systems ◽  
Quantum Programming

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.

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
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Intelligent Systems ◽  
Self Organization ◽  
Functional Systems ◽  
Intelligent Control Systems ◽  
Flight Vehicles

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.

scholarly journals Intelligent control of mobile robot with redundant manipulator & stereovision: quantum / soft computing toolkit

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Kirill V Koshelev ◽  
Alena V Nikolaeva ◽  
Andrey G Reshetnikov ◽  
Sergey Victorovich Ulyanov
Keyword(s):  
Quantum Computing ◽  
Mobile Robot ◽  
Knowledge Base ◽  
Soft Computing ◽  
Intelligent Control ◽  
Computational Intelligence ◽  
Control Object ◽  
Knowledge Bases ◽  
Self Organization ◽  
Redundant Manipulator

The task of an intelligent control system design applying soft and quantum computational intelligence technologies discussed. An example of a control object as a mobile robot with redundant robotic manipulator and stereovision introduced. Design of robust knowledge bases is performed using a developed computational intelligence – quantum / soft computing toolkit (QC/SCOptKBTM). The knowledge base self-organization process of fuzzy homogeneous regulators through the application of end-to-end IT of quantum computing described. The coordination control between the mobile robot and redundant manipulator with stereovision based on soft computing described. The general design methodology of a generalizing control unit based on the physical laws of quantum computing (quantum information-thermodynamic trade-off of control quality distribution and knowledge base self-organization goal) is considered. The modernization of the pattern recognition system based on stereo vision technology presented. The effectiveness of the proposed methodology is demonstrated in comparison with the structures of control systems based on soft computing for unforeseen control situations with sensor system.

scholarly journals Necessity of intelligent control systems application in experimental nuclear physics complexes (NICA type).PT.I: Problems of unforeseen situations

2020 ◽  
pp. 32-57
Author(s):  
Oleg Brovko ◽  
Alexey Eliseev ◽  
Vladimir Kekelidze ◽  
Vladimir Korenkov ◽  
Dmitry Monahov ◽  
...  
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Nuclear Physics ◽  
Fuzzy Controller ◽  
Knowledge Bases ◽  
Level Control ◽  
Intelligent Computing ◽  
Intelligent Control Systems ◽  
End To End

In the article (Part I) the necessity of application of end-to-end quantum technologies of intelligent computing in problems of structure elements control of complex experimental accelerator complex NICA is analyzed. Given a description of possible unforeseen situations, their classification is given to include adjustments to the decision-making application of production rules, logic knowledge bases of intelligent control systems based on emerging information risk increment. In the second part (Part II) the proposed two-level intelligent control system, a physical experimental setup of the NICA complex, in which the lower Executive level is a traditional control system based on expert control using the Tango control system Controls, while the upper (intelligent) level control actions are generated using the methods of quantum end-to-end IT design quantum fuzzy controller. Part II presents the QSCIT (Quantum Soft Computational Intelligence Toolkit), based on soft and quantum computing, to design robust knowledge bases in self-organizing intelligent control systems.

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