Noniterative Coordination in Multilevel Systems

Name: Noniterative Coordination in Multilevel Systems
Brand: Springer
SKU: 9780792358794
Price: 553.98 RON
Availability: InStock

Autor: Krassimira Stoilova

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Editura: Springer

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Multilevel decision theory arises to resolve the contradiction between increasing requirements towar...

Informații despre carte

Autor

Krassimira Stoilova

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1999

Pagini

270

EAN

9780792358794

ISBN

0792358791

Enbook ID

02705397

Editura

Springer

Greutate

600

Dimensiuni

160 x 240 x 21

Descriere completă

Multilevel decision theory arises to resolve the contradiction between increasing requirements towards the process of design, synthesis, control and management of complex systems and the limitation of the power of technical, control, computer and other executive devices, which have to perform actions and to satisfy requirements in real time. This theory rises suggestions how to replace the centralised management of the system by hierarchical co-ordination of sub-processes. All sub-processes have lower dimensions, which support easier management and decision making. But the sub-processes are interconnected and they influence each other. Multilevel systems theory supports two main methodological tools: decomposition and co-ordination. Both have been developed, and implemented in practical applications concerning design, control and management of complex systems. In general, it is always beneficial to find the best or optimal solution in processes of system design, control and management. The real tendency towards the best (optimal) decision requires to present all activities in the form of a definition and then the solution of an appropriate optimization problem. Every optimization process needs the mathematical definition and solution of a well stated optimization problem. These problems belong to two classes: static optimization and dynamic optimization. Static optimization problems are solved applying methods of mathematical programming: conditional and unconditional optimization. Dynamic optimization problems are solved by methods of variation calculus: Euler Lagrange method; maximum principle; dynamical programming.

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