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Principle of minimum entropy production in applied soft computing for advanced intelligent robotics and mechatronics

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Abstract

A new approach to design of smart intelligent control systems for advanced robotics and mechatronics is developed. The principle of minimum entropy production in a control object motion and a control system as a fitness function for genetic algorithm is used. Simulation results of a smart robust control of non-linear systems described as coupled oscillators are presented.

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Authors and Affiliations

  1. Mechanical and Control Eng. Dept., University of Electro-Communications, Chofugaoka, Chofu, 1-5-1, Tokyo, 182-8585, Japan E-mail: viktor@yama.mce.uec.ac.jp, , , , , , JP

    V. S. Ulyanov & K. Tanaka

  2. Research & Development Office, Yamaha Motor Europe N.V., Polo Didattico e di Ricerca di Crema, Via Bramante, 65-26013 CREMA (CR), Italy Tel.:/Fax: +39 0373 204518, E-mail: ulyanov@tin.it, , , , , , IT

    S. A. Panfilov, S. V. Ulyanov & I. Kurawaki

  3. Universita degli Studi di Milano, Polo Didattico e di Ricerca di Crema, Via Bramante, 65, 26013 Crema (CR), Italy Tel.: +390373 898230, E-mail: llitvintseva@crema.unimi.it, , , , , , IT

    L. V. Litvintseva

Authors
  1. V. S. Ulyanov
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  2. S. A. Panfilov
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  3. S. V. Ulyanov
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  4. L. V. Litvintseva
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  5. I. Kurawaki
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  6. K. Tanaka
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Ulyanov, V., Panfilov, S., Ulyanov, S. et al. Principle of minimum entropy production in applied soft computing for advanced intelligent robotics and mechatronics. Soft Computing 4, 141–146 (2000). https://doi.org/10.1007/s005000000034

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  • DOI: https://doi.org/10.1007/s005000000034

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