| Journal Title | MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS |
|---|---|
| ISSN | 1387-3954 |
| Aim/Scope/Research Area |
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 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 aid for modelling -The relationship between computational/simulation methods, the underlying mathematical formulation and real-world modelling problems -Qualitative modelling including fuzzy and iterative 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 validationeffects of modelling errors on overall performance of engineering system (e.g. relations hip between modelling and control design) -Applications in the field of engineering systems -Applications in other fields (such as environmental systems, biotechnology etc.) provided the methods or ideas presented are relevant in a number of areas or are of interest from a theoretical point of view -Case studies allowing a comparison of ideas or methods More general reviews or tutorial papers will also be considered providing they have relevance in the areas indicated above, especially in engineering applications. |
| Frequency of Journals | Yearly |
| Weblink | http://old.library.georgetown.edu/newjour/m/msg03065.html |
| Publisher | Swets & Zeitlinger Publishers |