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Structural and algorithmic approach for comparing the mobile robot

Keywords:

A.V. Grivachev - Post-graduate Student, Southwest State University (Kursk). E-mail: Garpun-22@mail.ru A.G. Kurochkin - Post-graduate Student, Southwest State University (Kursk). E-mail: ak.kursk@gmail.com E.A. Titenko - Ph.D. (Eng.), Associate Professor, Department of information systems and technologies, Southwest State University (Kursk). E-mail: johntit@mail.ru


The object of study is the structurally-algorithmic approach to the evaluation of complex technical systems. Robotics complex consists of a series of heterogeneous systems that have essentially individual performance. For comparison, robotic complexes are invited to allocate important functionally complete systems. Next, you need to conduct a comparison of systems, not with each other, as there will be a loss of the information. It is proposed to compare system robot with respect to the \"ideal robot\" having extreme values of variables. The aim is to increase the validity of the decisions. Validity is achieved by controlling the space of variables that describe the system of robotic system. Compare with an ideal robot performed using with qualimetric diagrams. It is proposed the iterative method based on the known method of analysis of hierarchies and supplemented the two stages. The first complementary stage is based on the use of test charts which are compared with the \"ideal\" robot. The second complementary stage performs convolution of the resulting robot description of the vector into a single efficiency value . At the stage of the analytic hierarchy process steps of the proposed method of processing few sets of variables for local robot systems. As a result of evaluation of the robot described vector rather than a scalar value. More information enhances the validity of objective decision-making. Research methods: systems analysis, decision theory, qualimetry.
References:

 

  1. Kurochkin A.G.Emeljanov S.G., Titenko E.A. Analiz algoritmov poiska po obrazcu dlja upravlenija gruppojj robotov // Naukoemkie tekhnologii. 2014. T. 15. № 12. S. 4–8.
  2. Grivachev A.V., Emeljanov S.G., Titenko E.A. Modificirovannaja produkcionnaja sistema dlja reshenija zadachi strukturnogo raspoznavanija obrazov//Naukoemkie tekhnologii. 2014. T. 15. № 12. S. 9–12.
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  4. Saati T.L. Prinjatie reshenijj pri zavisimostjakh i obratnykh svjazjakh. Analiticheskie seti. M.: Izd-vo LKI. 2008. 360 s.

 

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