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Optimal stochastic control schemes within a structural reliability framework Bernt J. Leira

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Author/Creator:
Leira, Bernt J., author.
Series:
SpringerBriefs in statistics 2191-544X
SpringerBriefs in Statistics 2191-544X
Language:
English
Subjects (All):
Stochastic processes.
Mathematical optimization.
Stochastic Processes.
Medical Subjects:
Stochastic Processes.
Physical Description:
1 online resource
Place of Publication:
Cham Springer 2013
System Details:
text file
PDF
Summary:
The book addresses the topic of on-line implementation of structural and mechanical design criteria as an explicit part of optimal control schemes. The intention of the present research monograph is to reflect recent developments within this area. Examples of application of relevant control algorithms are included to illustrate their practical implementation. These examples are mainly taken from the area of marine technology with the multi-component external loading being represented as both varying in time and with magnitudes that are represented as statistical quantities. The relevant target group will be mechanical and structural engineers that are concerned with smart components and structures where optimal design principles and control actuators are combined. The book is also relevant for engineers e.g. involved in mechatronics and control applications
Contents:
Introduction Structural Limit States and Reliability Measures Dynamic Structural Response Analysis and Probabilistic Representation Categories of On-line Control Schemes Based on Structural Reliability Criteria Example Applications Related to On-line Control Schemes Conclusions
Notes:
Includes bibliographical references
Online resource; title from PDF title page (SpringerLink, viewed September 9, 2013)
Other Format:
Printed edition:
ISBN:
9783319014050
3319014056
3319014048
9783319014043
OCLC:
858918906
Access Restriction:
Restricted for use by site license

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