Directions in Large-Scale Systems

Name: Directions in Large-Scale Systems
Brand: Springer-Verlag New York Inc.
SKU: 9781468422610
Price: 276.07 RON
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Many-Person Optimization and Decentralized Control

Autor: Y. Ho

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Editura: Springer-Verlag New York Inc.

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This book is the record of papers presented at the Conference on Directions in Decentralized Control...

Informații despre carte

Autor

Y. Ho

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2012

Pagini

434

EAN

9781468422610

ISBN

1468422618

Enbook ID

02175114

Editura

Springer-Verlag New York Inc.

Greutate

846

Dimensiuni

178 x 254 x 25

Descriere completă

This book is the record of papers presented at the Conference on Directions in Decentralized Control, Many-Person Optimization, and Large-Scale Systems held at the Colonial Hilton Inn, Wakefield, Massachusetts from September 1-3, 1975. Our motivation for organizing such a conference was two fold. Firstly, the last few years have seen a great deal of activity in the field of Large-Scale Systems Theory and it has been certainly one of the dominant themes of research in the disciplines of Systems and Control Theory. It therefore seemed appropriate to try and take stock of what had been accomplished and also try to "invent"l the future directions of research in this field. Secondly, the 6th World IFAC Conference was being held in Cambridge, Massachusetts the week earlier and it provided an ideal opportunity for taking advantage of the presence of a large number of specialists from all parts of the world to organize a small conference where a free exchange of ideas could take place. It is left to the readers of this volume to judge to what extent we have been successful in our above mentioned goals. There is no accepted definition of what constitutes a "large scale system" nor what large-scale system theory is. While this diversity does suggest that the field {whatever it may turn out to be} is in a state of flux, it does not necessarily imply chaos.

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Directions in Large-Scale Systems

Many-Person Optimization and Decentralized Control

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