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Analysis and Estimation of Stochastic Mechanical Systems

Analysis and Estimation of Stochastic Mechanical Systems
Catalogue Information
Field name Details
Dewey Class 519.2
Title Analysis and Estimation of Stochastic Mechanical Systems ([EBook] /) / edited by Werner Schiehlen, Walter Wedig.
Added Personal Name Schiehlen, Werner editor.
Wedig, Walter editor.
Other name(s) SpringerLink (Online service)
Publication Vienna : : Springer Vienna : : Imprint: Springer, , 1988.
Physical Details V, 350 p. 2 illus. : online resource.
Series International Centre for Mechanical Sciences, Courses and Lectures 0254-1971 ; ; 303
ISBN 9783709128206
Summary Note This book summarizes the developments in stochastic analysis and estimation. It presents novel applications to practical problems in mechanical systems. The main aspects of the course are random vibrations of discrete and continuous systems, analysis of nonlinear and parametric systems, stochastic modelling of fatigue damage, parameter estimation and identification with applications to vehicle road systems and process simulations by means of autoregressive models. The contributions will be of interest to engineers and research workers in industries and universities who want first hand information on present trends and problems in this topical field of engineering dynamics.:
Contents note Contents: Preface -- I. Elishakoff: Random Vibrations of Discrete and Continuous Systems -- W. Kliemann: Analysis of Nonlinear Stochastic Systems -- M. Hazewinkel: Lectures on Linear and Nonlinear Filtering -- F. Kozin: Structural Parameter Identification Techniques -- W. Wedig: Parametric Instability and Process Identification -- W. Schiehlen: Modeling, Analysis and Estimation of Vehicle Systems -- K. Sobczyk: Stochastic Modelling and Analysis of Fatigue -- M. Hazewinkel: A Tutorial Introduction to Differential Manifolds, Calculus of Manifolds and Lie Algebras.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
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