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Journal Nonlinear World №7 for 2014 г.
Article in number:
Automatic control system synthesis for mobile robot by network operator and intellectual evolution method
Authors:
A.I. Diveev - Dr. Sc. (Eng.), Professor, Head of Department, Dorodnicyn Computing Centre of RAS. E-mail: aidiveev@mail.ru
E.Y. Shmalko - Ph. D. (Eng.), Research Scientist, Dorodnicyn Computing Centre of RAS (Moscow). E-mail: e.shmalko@gmail.com
Abstract:
This paper introduces the intellectual evolution method based on the network operator as a simple but flexible framework for approaching automatic control system synthesis problems. The intellectual evolution method is an extension of some evolutionary approaches that has recently been found to be useful in solving both parts of synthesis problem such as searching a structure of the control function and its parameters. A numerical example of control system synthesis for a wheeled mobile robot by the developed method is presented. In the example two-wheeled mobile robot has to move along a predetermined path defined by a set of points coordinates. Computer experiment showed the high quality of the resulting control system that ensures fast and accurate movement of the robot along the path.
Pages: 42-47
References

  1. Koza J.R. Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge. Massachusetts. London. MA: MIT Press. 1992. 819 p.
  2. O'Neill M., Ryan C. Grammatical Evolution. Evolutionary Automatic Programming in an Arbitrary Language. Kluwer Academic Publishers. 2002.
  3. Zelinka I. Analytic programming by Means of Soma Algorithm. In: Proc. 8th International Conference on Soft Computing Mendel-02. Brno. Czech Republic. 2002. P. 93−101.
  4. Diveev A.I. Metod setevogo operatora. M.: VCZ RAN. 2010. 178 s.
  5. Diveev A.I. CHislenny'j metod setevogo operatora dlya sinteza sistemy' upravleniya s neopredelenny'mi nachal'ny'mi znacheniyami // Izvestiya RAN. Teoriya i sistemy' upravleniya. 2012. № 2. S. 63−78.
  6. Diveev A.I., Sofronova E.A. Metod setevogo operatora i ego primenenie v zadachax upravleniya. M.: RUDN. 2012. 182 s.
  7. Diveev A.I., SHmal'ko E.YU. Algoritm intellektual'noj e'volyuczii v zadache sinteza bezopasnoj sistemy' upravleniya mobil'ny'm robotom // Voprosy' teorii bezopasnosti i ustojchivosti sistem. № 15. M.: VCZ RAN. 2013. S. 23−35.
  8. Diveev A., Khamadiyarov D., Shmalko E., Sofronova E. Intellectual Evolution Method for Synthesis of Mobile Robot Control System. In: Proceedings of 2013 IEEE Congress on Evolutionary Computation. Cancun. Mexico. P. 24−31.
  9. Pham D.T., Ghanbarzadeh A., Koç E., Otri S., Rahim S., Zaidi M.The Bees Algorithm - A Novel Tool for Complex Optimisation Problems. In: Proc. 2nd Virtual International Conference on Intelligent Production Machines and Systems (IPROMS2006). Cardiff. UK. 2006. P. 454−459.
  10. Reynolds R.G. An Introduction to Cultural Algorithms. In: Proceedings of the Third Annual Conference on Evolutionary Programming. San Diego. California. 1994. P. 131−139.