350 rub
Journal Science Intensive Technologies №2 for 2015 г.
Article in number:
The numerical robust control synthesis algorithm using hybrid parallelization approaches
Authors:
A.I. Diveev - Dr. Sc. (Eng.), Professor, Head of Department, Dorodnicyn Computing Centre of RAS (Moscow). E-mail: aidiveev@mail.ru A.S. Uvarov - Post-graduate Student, Peoples - Friendship University of Russia. E-mail: prophet-05@mail.ru D.B. Khamadiyarov - Post-graduate Student, Peoples - Friendship University of Russia. E-mail: hadam102@mail.ru
Abstract:
In the paper hybrid parallelization algorithms of numeric method of robust control systems synthesis are considered. The synthesis method is in the replacement of uncertain parameters set with the terminal set of points from an uncertain area. Functionals calculation is performed for each point from that set. The higher the uncertainty set-s discrete are, the higher the quality of the synthesized system is and the more time is spent for calculation. To improve calculation efficiency hybrid calculation parallelization approaches are used. Such approaches distribute the calculation burden between CPU cores, resulting in better performance.
Pages: 68-74
References

 

  1. Diveev A.I. Metod setevogo operatora. M.: VC RAN. 2010. 178 s.
  2. Diveev A.I. CHislennyjj metod setevogo operatora dlja sinteza sistemy upravlenija s neopredelennymi nachalnymi znachenijami // Izvestija RAN. Teorija i sistemy upravlenija. 2012. № 2. S. 63−78.
  3. Diveev A.I., Uvarov A.S., KHamadijarov D.B. Parallelnyjj algoritm chislennogo sinteza robastnojj sistemy upravlenija na osnove metoda setevogo operatora // XIMezhdunar. simpozium «Intellektualnye sistemy» (INTELS-2014). 30.06−04.07 2014. Moskva: RUDN.
  4. Karpenko A.P. Populjacionnye algoritmy globalnojj poiskovojj optimizacii. Obzor novykh i maloizvestnykh algoritmov // Informacionnye tekhnologii. 2012. № 7. S. 2−32.
  5. Diveev A.I. A Numerical Method for Network Operator for Synthesis of a Control System with Uncertain Initial Values // Journal of Computer and Systems Sciences International. 2012. V. 51. № 2. P. 228−243.
  6. Diveev A., Khamadiyarov D., Shmalko E., Sofronova E. Intellectual Evolution Method for Synthesis of Mobile Robot Control System // IEEE Congress on Evolutionary Computation (CEC 2013). Cancún, México. P. 24−31.
  7. Koza J.R. Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, Massachusetts, London. MA: MIT Press. 1992. 819 p.
  8. Luque G., Alba E. Parallel Genetic Algorithms. 2011. 367 p.
  9. Nowostawski M., Riccardo P. Parallel Genetic Algorithm Taxonomy. KES-99. 1999.
  10. Stender J. Parallel Genetic Algorithm: Theory & Applications. 1994. 223 p.
  11. Bovshuk E.R. Robastnoe upravlenie nelinejjnojj sistemojj c parametricheskojj neopredelennostju // Naukoemkie tekhnologii. 2011. № 4. S. 31−34.