Genetic algorithm frequency-domain optimization of an anti-resonant electromechanical controller-Reference-Cited by-同舟云学术

Genetic algorithm frequency-domain optimization of an anti-resonant electromechanical controller

Published:1999-04 Issue:2 Volume:12 Page:201-211
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Scott Douglas A.,Karr Charles L.,Schinstock Dale E.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference19 articles.

1. Brogan, W.L. 1991. Modern Control Theory (3rd ed.) Prentice Hall, Upper Saddle River, NJ. pp. 443–498.

2. Byrd, V.I. 1997. Force feedback compensation for electromechanical actuation in thrust vector control. Ph.D. thesis, The University of Alabama, Tuscaloosa

3. Davis, M.E. 1973a. Bulk modulus and valve dynamics effect on linear SSME-TVC. Unpublished report to Mr C.S. Cornelius, report no. SP-261-0805-1, NASA/MSFC, Huntsville, AL

4. Davis, M.E. 1973b. Optimum gains determination. Unpublished report to Mr C.S. Cornelius, report no. SP-261-0805, NASA/MSFC, Huntsville, AL

5. De Jong, K.A. 1975. An analysis of the behavior of a class of genetic adaptive systems. Ph.D. thesis, University of Michigan, Ann Arbor

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