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.
%0 Journal Article
%1 journals/tsmc/WangFTG05
%A Wang, Jiachuan
%A Fan, Zhun
%A Terpenny, Janis P.
%A Goodman, Erik D.
%D 2005
%J IEEE Transactions on Systems, Man, and Cybernetics,
Part C
%K 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
%N 2
%P 172--182
%R doi:10.1109/TSMCC.2004.841915
%T Knowledge interaction with genetic programming in
mechatronic systems design using bond graphs
%V 35
%X 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,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Wang, Jiachuan and Fan, Zhun and Terpenny, Janis P. and Goodman, Erik D.},
bibdate = {2006-01-23},
bibsource = {DBLP,
http://dblp.uni-trier.de/db/journals/tsmc/tsmcc35.html#WangFTG05},
biburl = {https://www.bibsonomy.org/bibtex/2d264cf5e95b6f58a9c265350c3736fbb/brazovayeye},
doi = {doi:10.1109/TSMCC.2004.841915},
interhash = {907369113d1c21a7251d3d3002ecc93a},
intrahash = {d264cf5e95b6f58a9c265350c3736fbb},
journal = {IEEE Transactions on Systems, Man, and Cybernetics,
Part C},
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},
month = May,
notes = {openbeagle},
number = 2,
pages = {172--182},
size = {11 pages},
timestamp = {2008-06-19T17:53:50.000+0200},
title = {Knowledge interaction with genetic programming in
mechatronic systems design using bond graphs},
volume = 35,
year = 2005
}