Noniterative Coordination in Multilevel Systems

Name: Noniterative Coordination in Multilevel Systems
Brand: Springer
SKU: 9780792358794
Price: 38234 HUF
Availability: InStock

Szerző: Krassimira Stoilova

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

38 234 Ft

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

Információk a könyvről

Szerző

Krassimira Stoilova

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1999

oldal

270

EAN

9780792358794

ISBN

0792358791

Enbook ID

02705397

Kiadó

Springer

Súly

600

Méretek

160 x 240 x 21

Teljes leírás

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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Noniterative Coordination in Multilevel Systems

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