Author: Debabrata RayPublisher:
ISBN:
Category :
Languages : en
Pages : 200
Book Description
Sensitivity Analysis for Nonlinear Dynamic Systems
Author: Debabrata RayTheory of Sensitivity in Dynamic Systems
Author: Mansour EslamiPublisher: Springer Science & Business Media
ISBN: 366201632X
Category : Technology & Engineering
Languages : en
Pages : 618
Book Description
This book provides a comprehensive treatment of the development and present state of the theory of sensitivity of dynamic systems. It is intended as a textbook and reference for researchers and scientists in electrical engineering, control and information theory as well as for mathematicians. The extensive and structured bibliography provides an overview of the literature in the field and points out directions for further research.
Sensitivity Analysis of Dynamic Systems
Author: Rajko TomovicPublisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 142
Book Description
Sensitivity Analysis of Dynamic Systems
Author: Rajko TomovićPublisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 160
Book Description
Sensitivity Analysis of Dynamic Systems ... Translated by David Tornquist
Author: Rajko TomovićPublisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 142
Book Description
Design Sensitivity Analysis and Optimization of Constrained Dynamic Systems
Author: Design sensitivity analysis of multibody dynamic systems
Author: Taeoh TakTheory of Sensitivity in Dynamic Systems
Author: Mansour EslamiPublisher:
ISBN: 9783662016343
Category :
Languages : en
Pages :
Book Description
Sensitivity Analysis for hysteric dynamic systems: theory and applications
Author: Sub-structure Coupling for Dynamic Analysis
Author: Hector JensenPublisher: Springer
ISBN: 3030128199
Category : Science
Languages : en
Pages : 231
Book Description
This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.