| Authors: |
Jiachuan Wang
and Zhun Fan
and Janis P. Terpenny
and Erik D. Goodman
|
| Tags: |
Bond
MEMS
acquisition,
algorithms,
application,
approach,
assistants,
band-pass
bandpass
bond
computation,
computing,
control
controller
design
design,
devices,
discovery,
engineering
evolutionary
filter
filters,
genetic
graphs,
intelligent
interaction,
knowledge
mechanical
mechatronic
mechatronics
mechatronics,
micromechanical
network
programming,
quarter-car
suspension
synthesis
synthesis,
system
systems
unified
|
| Abstract: |
This paper describes a unified network synthesis
approach for the conceptual stage of mechatronic
systems design using bond graphs. It facilitates
knowledge interaction with evolutionary computation
significantly by encoding the structure of a bond graph
in a genetic programming tree representation. On the
one hand, since bond graphs provide a succinct set of
basic design primitives for mechatronic systems
modelling, it is possible to extract useful modular
design knowledge discovered during the evolutionary
process for design creativity and reusability. On the
other hand, design knowledge gained from experience can
be incorporated into the evolutionary process to
improve the topologically open-ended search capability
of genetic programming for enhanced search efficiency
and design feasibility. This integrated knowledge-based
design approach is demonstrated in a quarter-car
suspension control system synthesis and a MEMS bandpass
filter design application. |
@article{journals/tsmc/WangFTG05,
title = {Knowledge interaction with genetic programming in
mechatronic systems design using bond graphs},
author = {Jiachuan Wang and Zhun Fan and Janis P. Terpenny and Erik D. Goodman},
journal = {IEEE Transactions on Systems, Man, and Cybernetics,
Part C},
month = {May},
number = {2},
pages = {172--182},
volume = {35},
year = {2005},
abstract = {This paper describes a unified network synthesis
approach for the conceptual stage of mechatronic
systems design using bond graphs. It facilitates
knowledge interaction with evolutionary computation
significantly by encoding the structure of a bond graph
in a genetic programming tree representation. On the
one hand, since bond graphs provide a succinct set of
basic design primitives for mechatronic systems
modelling, it is possible to extract useful modular
design knowledge discovered during the evolutionary
process for design creativity and reusability. On the
other hand, design knowledge gained from experience can
be incorporated into the evolutionary process to
improve the topologically open-ended search capability
of genetic programming for enhanced search efficiency
and design feasibility. This integrated knowledge-based
design approach is demonstrated in a quarter-car
suspension control system synthesis and a MEMS bandpass
filter design application.},
bibsource = {DBLP,
http://dblp.uni-trier.de/db/journals/tsmc/tsmcc35.html#WangFTG05}, size = {11 pages}, bibdate = {2006-01-23}, notes = {openbeagle}, doi = {doi:10.1109/TSMCC.2004.841915},
keywords = {Bond MEMS acquisition, algorithms, application, approach, assistants, band-pass bandpass bond computation, computing, control controller design design, devices, discovery, engineering evolutionary filter filters, genetic graphs, intelligent interaction, knowledge mechanical mechatronic mechatronics mechatronics, micromechanical network programming, quarter-car suspension synthesis synthesis, system systems unified }
}
::