This book provides an in-depth and systematic introduction to transmissibility-based system identification and its role in modern structural health monitoring (SHM). It establishes transmissibility as a paradigm-shifting framework for SHM, advancing beyond traditional input-output and output-only methods to propose a unified output-output paradigm. This innovative approach reduces reliance on excitation measurements or restrictive assumptions such as white noise inputs. Drawing on over 15 ...

The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. In order to design fault detection filters, it uses set-membership principles to deal with the unknown but bounded noise term. Some regular geometric spaces are introduced, such as the ellipsoid, polyhedron, interval, to describe the feasible parameter sets of the given system. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. S...

This book is mainly focused on the global impulsive synchronization of complex dynamical networks with different types of couplings, such as general state coupling, nonlinear state coupling, time-varying delay coupling, derivative state coupling, proportional delay coupling and distributed delay coupling. Studies on impulsive synchronization of complex dynamical networks have attracted engineers and scientists from various disciplines, such as electrical engineering, mechanical engineering...

Filter Design for System Modeling, State Estimation and Fault Diagnosis analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects.This book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters and sprin...

This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal comp...

Provides important information from anatomy to pathophysiology and covers most neurological disorders that involve venous circulation. Venous circulation has not been extensively studied and we know relatively little about cerebral venous circulation. Venous circulation contributes to half of the brain circulation and about 70% of the blood in the brain is venous blood. Veins and venules play extremely important roles in brain circulation especially during pathologies such as brain edema, ...

This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018, and the Second International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on Pattern Recognition, ICPR 2018, in Beijing, China, in August 2018.The 7 papers presented in this volume were carefully reviewed and selected from 9 submissions. They deal with topics such as histopathological imag...