Design of robust knowledge bases of fuzzy controllers for intelligent control of substantially nonlinear dynamic systems: II. A soft computing optimizer and robustness of intelligent control systems-Reference-Cited by-同舟云学术

Design of robust knowledge bases of fuzzy controllers for intelligent control of substantially nonlinear dynamic systems: II. A soft computing optimizer and robustness of intelligent control systems

Published:2006-10 Issue:5 Volume:45 Page:744-771
ISSN:1064-2307
Container-title:Journal of Computer and Systems Sciences International
language:en
Short-container-title:J. Comput. Syst. Sci. Int.

Author:

Litvintseva L. V.,Ul’yanov S. V.,Ul’yanov S. S.

Publisher

Pleiades Publishing Ltd

Subject

Applied Mathematics,Computer Networks and Communications,Computer Vision and Pattern Recognition,Information Systems,Theoretical Computer Science,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1134/S106423070605008X.pdf

Reference33 articles.

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2. B. N. Petrov, I. I. Gol’denblat, S. V. Ul’yanov, et al., The Theory of Models in Control Processes: Informational Thermodynamic Aspects (Nauka, Moscow, 1978) [in Russian].

3. L. V. Litvintseva, K. Takahashi, S. S. Ulyanov, et al., “Intelligent Robust Control Design Based on New Types of Computations,” Note del Polo Ricerca. Milana: Universita degli Studi di Milano Publ. 60 (2004).

4. B. N. Petrov, G. M. Ulanov, S. V. Ul’yanov, et al., Control Problems for Relativistic and Quantum Dynamic Systems (Nauka, Moscow, 1982) [in Russian].

5. R. A. Aliev and S. V. Ul’yanov, “Fuzzy Models of Control Processes and Systems,” Itog. Nauk. Tekh. (VINITI), Ser. Tekh. Kibern. 29 (1990); 32 (1991).

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