@article{DemGaw92,
author = {H. Demircioglu and
P. J. Gawthrop},
cscauthor = {hd,pjg},
title = {Multivariable Continuous-time Generalised Predictive Control},
journal = {Automatica},
volume = 28,
number = 4,
pages = {697--713},
weighting = {1(0)/2},
ccode = {11},
keywords = {},
year = 1992,
doi = {10.1016/0005-1098(92)90031-A}
}
@article{GawJonMac92b,
author = {P. J. Gawthrop and
R. W. Jones and
S. A. MacKenzie},
cscauthor = {pjg,rwj,sam},
title = {Identification of partially-known systems},
journal = {Automatica},
volume = 28,
number = {4},
pages = {831--836},
weighting = {1(2)/3},
ccode = {11},
keywords = {},
year = 1992,
abstract = {
The concepts of partially-known system identification are introduced
and the advantages of a method whereby process information can be
utilized in a linear transfer function representation of the system
are highlighted and discussed. In particular, an algorithm for
identifying a single unknown physical system parameter associated
with a linear system is given. It is assumed that the system is
polynomial (as opposed to linear) in the physical parameter. The
Bond graph representation is used as the basis for deriving a
system-dependent algorithm for each partially-known system. The
method is illustrated by simulated examples. },
pdf = {../../Publications/csc1992/GawJonMac92.pdf},
doi = {10.1016/0005-1098(92)90046-I}
}
@article{GawSmi92a,
author = {P. J. Gawthrop and
L. Smith},
cscauthor = {pjg},
title = {Causal augmentation of bond graphs with algebraic loops},
journal = {Journal of the Franklin Institute},
volume = 329,
number = 2,
pages = {291--303},
weighting = {},
ccode = {1(1)/2},
keywords = 11,
year = 1992,
doi = {10.1016/0016-0032(92)90035-F},
abstract = {An algorithm for the causal augmentation of bond graphs with
algebraic loops is given. Unlike previous algorithms, this involves
bond graph rather than equation manipulation. A number of
illustrative examples are given.},
pdf = {../../Publications/csc1992/GawSmi92.pdf}
}
@article{HunSbaZbiGaw92,
author = {K. J. Hunt and
R. Zbikowski and
D. Sbarbaro and
P. J. Gawthrop},
cscauthor = {kjh,pjg},
title = {Neural Networks for Control Systems---A survey},
journal = {Automatica},
volume = {28},
number = {6},
pages = {1083--1112},
weighting = {2(2)/4},
ccode = {11},
keywords = {},
year = 1992,
abstract = {
This paper focuses on the promise of artificial neural networks in the
realm of modelling, identification and control of nonlinear
systems. The basic ideas and techniques of artificial neural networks
are presented in language and notation familiar to control
engineers. Applications of a variety of neural network architectures
in control are surveyed. We explore the links between the fields of
control science and neural networks in a unified presentation and
identify key areas for future research.
},
pdf = {../../Publications/csc1992/HunSbaZbiGaw92.pdf},
doi = {10.1016/0005-1098(92)90053-I}
}
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