Reprint
Inverse Dynamics Problems
Edited by
June 2021
218 pages
- ISBN978-3-0365-1066-8 (Hardback)
- ISBN978-3-0365-1067-5 (PDF)
This book is a reprint of the Special Issue Inverse Dynamics Problems that was published in
Computer Science & Mathematics
Engineering
Summary
The inverse dynamics problem was developed in order to provide researchers with the state of the art in inverse problems for dynamic and vibrational systems. Contrasted with a forward problem, which solves for the system output in a straightforward manner, an inverse problem searches for the system input through a procedure contaminated with errors and uncertainties. An inverse problem, with a focus on structural dynamics, determines the changes made to the system and estimates the inputs, including forces and moments, to the system, utilizing measurements of structural vibration responses only. With its complex mathematical structure and need for more reliable input estimations, the inverse problem is still a fundamental subject of research among mathematicians and engineering scientists. This book contains 11 articles that touch upon various aspects of inverse dynamic problems.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
regenerative shock absorbers; energy harvesting; active control of automobile suspension systems; railroad tracks; track modulus; computer simulation; artificial neural networks; Fiber-reinforced Foamed Urethane (FFU); free vibration; impact hammer excitation technique; high-rate dynamics; structural health monitoring; time-frequency analysis; synchrosqueezing transform (SST); jerk; acceleration onset; higher-order derivatives of acceleration; jounce; acceleration-dot; sports surfacing; sand surface; dynamic behaviour; impact tests; accelerometry; greyhound racing; equine racing; shake table control; vibration testing; system identification; inverse dynamics; feedback linearization; servohydraulics; inverse problems; quantum graphs; delta-prime vertex conditions; Bayesian inference; uncertainty quantification; dynamical systems; inverse problem; machine learning; system identification; Gaussian process; polynomial chaos; impact force identification; tower structure; impact localization; force history; inverse algorithm; rotor dynamic; bearing; centrifugal pump; impeller diameter; Lagrangian equations; n/a