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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	September 2016
Genre:	Naturwissensch., Medizin, Technik
	B / Business and Management / Civil Engineering / Computer modelling & simulation / computer science / Computer simulation / Control and Systems Theory / Control engineering / Cybernetics & systems theory / Dynamical systems / Dynamics / engineering / Mechanics of solids / Organization / Organizational theory & behaviour / Planning / Simulation and Modeling / System Theory / Systems Theory, Control / Vibration / Vibration, Dynamical Systems, Control mehr...
ISBN:	9789402407143
EAN-Code:	9789402407143
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#69 - Intelligent Systems, Control and Automation: Science and Engineering
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	9241 gr
Seiten:	600
Illustration:	XVIII, 600 p. 138 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.