A Darwinian approach to the actuator number and
placement problem with non-negligible actuator mass
D. Zimmerman. Mechanical Systems and Signal Processing, 7 (4):
363--374(1993)
Abstract
The problem of optimal actuator number and placement
for the vibration control of large flexible space
structures is addressed. The inherent mass of the
actuators is integrated in the number and placement
algorithm. The algorithm uses concepts from genetic
programming, which is loosely based on Darwin's
survival of the fittest theories. The paper develops
the genetic algorithm in the context of the actuator
number and placement problem. Examples are presented
which demonstrate the genetic algorithm and the effect
of actuator mass on the placement and number problem.
%0 Journal Article
%1 Zimmerman:1993:MSSP
%A Zimmerman, David C.
%D 1993
%J Mechanical Systems and Signal Processing
%K algorithms, genetic programming
%N 4
%P 363--374
%T A Darwinian approach to the actuator number and
placement problem with non-negligible actuator mass
%U http://www.sciencedirect.com/science/article/B6WN1-45P695X-P/2/f57ddb902c8f69ea01737429863c4277
%V 7
%X The problem of optimal actuator number and placement
for the vibration control of large flexible space
structures is addressed. The inherent mass of the
actuators is integrated in the number and placement
algorithm. The algorithm uses concepts from genetic
programming, which is loosely based on Darwin's
survival of the fittest theories. The paper develops
the genetic algorithm in the context of the actuator
number and placement problem. Examples are presented
which demonstrate the genetic algorithm and the effect
of actuator mass on the placement and number problem.
@article{Zimmerman:1993:MSSP,
abstract = {The problem of optimal actuator number and placement
for the vibration control of large flexible space
structures is addressed. The inherent mass of the
actuators is integrated in the number and placement
algorithm. The algorithm uses concepts from genetic
programming, which is loosely based on Darwin's
survival of the fittest theories. The paper develops
the genetic algorithm in the context of the actuator
number and placement problem. Examples are presented
which demonstrate the genetic algorithm and the effect
of actuator mass on the placement and number problem.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Zimmerman, David C.},
biburl = {https://www.bibsonomy.org/bibtex/2858b21981cac83c20c1879a8a94b7b6b/brazovayeye},
interhash = {5aa9eae45ea84f6065804bf64663e874},
intrahash = {858b21981cac83c20c1879a8a94b7b6b},
journal = {Mechanical Systems and Signal Processing},
keywords = {algorithms, genetic programming},
number = 4,
owner = {wlangdon},
pages = {363--374},
timestamp = {2008-06-19T17:55:57.000+0200},
title = {A Darwinian approach to the actuator number and
placement problem with non-negligible actuator mass},
url = {http://www.sciencedirect.com/science/article/B6WN1-45P695X-P/2/f57ddb902c8f69ea01737429863c4277},
volume = 7,
year = 1993
}