Written for researchers and graduate students in civil and mechanical engineering, this book provides comprehensive coverage of Bayesian methods in many areas of science and engineering. The book familiarizes readers with the latest developments in the field, and includes identification problems for both dynamic and static systems. Topics covered include basic concepts and the Bayesian probabilistic framework, Bayesian spectral density approach, and model updating using eigenvalue-eigenvector measurements.
A supplemental set of MATLAB code files is available for download.
Teaching materials based on MATLAB and Simulink