GAMM Rundbrief 2002/Heft 2

104
Neue Bücher und Zeitschriften
Associate editors
D. J. Murray-Smith (Glasgow (UK) R. Skelton (San Diego, USA)
P. C. Müller (Wuppertal, BRD G. Zobrist (Missouri-Rolla, USA))
S. Marsili-Libelli (Firenze, Italy)
Editorial board N. A. Kheir (USA)
P. C. Breedveld (Enschede, NL) H. Kwakernaak (Enschede, Netherlands)
F. Breitenecker (Wien, Austria) L. Ljung (Lund, Sweden)
F. Cellier (Tucson, USA) C. Maffezoni (Milan, Italy)
F. L. Chernousko ( Moscow, Russia) J. McPhee (Waterloo, Canada)
A. Cheruy (Grenoble, F) J. V. R. Prasad (Atlanta, USA)
S. Engell (Dortmund, BRD) W. Schiehlen (Stuttgart, BRD)
B. A. Foss (Trondheim, Norway) K. Schlacher (Linz, A)
K. Furuta (Tokyo, Japan) S. Tzafestas (Athens, Greece)
R. Hanus (Bruxelles, B) R. Viertl (Wien, Austria)
R. Karba (Ljubliana, Slovenia) M. Zeitz (Stuttgart, BRD)
D. Karnopp (Davis, USA)
Scope
The analysis and improvement of performance in complex systems, the adaptation of plants to
new demands or conditions and the design of 'optimal' systems are a few of the challenges
confronting engineers and systems scientists today. In many cases solutions to problems in
areas such as these may be found through the use of appropriate mathematical models. The
dynamic case, whether continuous time or discrete time, deterministic or stochastic, presents
special challenges and derivation of an appropriate solution depends strongly on the proper
initial formulation of the goals and constraints. Increasingly this demands an interdisciplinary
approach to modelling.
Models of the kind discussed above can take the form of sets of equations, graphs or nets, or
some combination of elements such as these. The derivation, combination, simplification and
validation of models and sub-models are the main topics of this journal which provides an
international forum for the presentation of new ideas in modelling and for the exchange of
experience and knowledge through descriptions of specific applications. Original work will be
published as regular papers or short notes dealing with a range of topics including the
following:
- processes and methods for model formulation, identification,
- development, reduction and validation etc. (including guidelines and check lists),
- automation of modelling and software aids for modelling,
- the relationship between computational/simulation methods, the underlying mathematical
formulation and real-world modelling problems,
- qualitative modelling and fuzzy approaches to modelling,
- modular modelling (especially applied to interdisciplinary fields such as mechatronic or
controlled environmental systems),
- learning networks in modelling,
- uncertainties in modelling,
- the relationship between the modelling approach and problem solutions,
- comparisons of methods for modelling, model reduction and model validation,
- effects of modelling errors on overall performance of an engineering system (e.g.
relationship between modelling and control design),
- applications in the field of engineering systems,