-------- Original-Nachricht -------- Betreff: call for special issue journal papers Datum: Tue, 17 May 2005 20:05:30 +0100 Von: Zidong Wang Zidong.Wang@brunel.ac.uk Antwort an: Zidong.Wang Zidong.Wang@brunel.ac.uk Firma: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
Dear colleagues,
I am currently editing a special issue in the International Journal of General Systems (http://www.tandf.co.uk/journals/titles/03081079.asp). The main theme is "Analysis and Control of Complex Systems". The special issue will have 6-10 papers, covering latest advances in handling complex systems in different areas. For more details please see the Call for Papers attached in the end of this email.
You are cordially invited to contribute a paper to this special issue. If you are interested, please could you email me the title and an abstract of the paper you intend to write, addressing what sort of complex systems you plan to deal with, by May 30, 2005. I will then let you know the instruction for preparing the paper and the deadline for submitting the manuscript. I plan to have this special issue published early next year.
Thanks for your attention. A response is greatly appreciated.
Best regards,
Zidong Wang ___________________________________ Dr. Zidong Wang Reader in Computing and Dynamical Systems Department of Information Systems and Computing Brunel University Uxbridge, Middlesex, UB8 3PH, U.K. Email: Zidong.Wang@brunel.ac.uk http://www.brunel.ac.uk/~csstzzw/ Tel: ++44/1895 266021 Fax: ++44/1895 251686
************************************ Call for Papers
Analysis and Control of Complex Systems
In the International Journal of General Systems (IJGS)
Recent advances in computing and network technologies have contributed much to the successful handling of certain problems in biology, physics, economics etc that until recently were thought too difficult to be analysed. These complex systems problems tend to share a number of interesting properties. For example, they have many components that interact in some interesting way and these components or agents may be similar or differ in important characteristics. The systems are dynamic in nature, interact with their environments and adapt their internal structures as a consequence of such interaction. A key feature of such a system is that the non-linear interactions among its components can lead to interesting emergent behaviour.
The overall aim of this special issue is to bring together the latest/innovative knowledge and advances in handling complex systems, which may depend largely on methods from artificial intelligence, mathematics, statistics, operational research, and engineering, including non-linear dynamics, time series analysis, dynamic systems, cellular automata, artificial life, evolutionary computation, game theory, neural networks, multi-agents, and heuristic search methods. The solicited papers in this special issue should provide solutions, or early promises, to modelling, analysis and control problems of real-world complex systems,such as communication systems, process control, environmental systems, intelligent manufacturing systems, transportation systems, structural systems, and so on.
Topics include, but are not limited to:
1. Modelling and model reduction; Decomposition techniques; Decentralized control and estimation; Multi-criteria Optimization (including); Stability analysis and stabilization; Control of uncertain systems.
2. Intelligent control; Neural network; Hybrid systems; Discrete event systems; Complex systems and chaos; Distributed and hierarchical control systems; Descriptor and implicit Systems; Fault detection and supervision.
3. Decision support systems (including use of artificial intelligence and fuzzy logic); Production planning and scheduling; Robotic systems; Life support (water, gas, power, etc.) systems; Process industry (chemical, oil, metals, etc.)
4. Biological systems; Communication and information systems; Agricultural systems; Human-machine interaction; Business and management systems, Financial and economic systems; Environmental systems; Transportation systems; Manufacturing systems; Virtual factory; Risk analysis in complex systems.
Guest Editor:
Dr. Z. Wang Department of Information Systems and Computing Brunel University West London Uxbridge, UB8 3PH United Kingdom Email: Zidong.Wang@brunel.ac.uk http://www.brunel.ac.uk/~csstzzw/
--------------------------------------------------------------------- To unsubscribe, e-mail: computational.science-unsubscribe@optimanumerics.com For additional commands, e-mail: computational.science-help@optimanumerics.com
Computational Science mailing list hosting is provided by OptimaNumerics (http://www.OptimaNumerics.com) ---------------------------------------------------------------------