Xingjian Wang

While artificial intelligence has made significant strides in imaging and natural language processing, its utilization in engineering science remains relatively new. This book aims to introduce machine learning techniques to facilitate the emulation of complex fluid flows. The work focuses on projection-based reduced-order models (ROMs) that condense high-dimensional data into a low-dimensional subspace by leveraging principal components. Techniques like proper orthogonal decomposition (POD) and convolutional autoencoder (CAE) are utilized to configure this subspace, establishing a functional mapping between input parameters and solution fields. The applicability of POD-based ROMs for spatial and spatiotemporal problems are explored across various engineering scenarios, including flow past a cylinder, supercritical turbulent flows, and hydrogen-blended combustion. To capture intricate dynamics, common POD, kernel-smoothed POD, and common kernel-smoothed POD methods are developed in sequence. Additionally, the effectiveness of POD and CAE in capturing nonlinear features are compared. This book is designed to benefit graduate students and researchers interested in the intersection of data and engineering sciences.

This book provides a comprehensive analysis of fault tolerant control (FTC) for more-electric civil aircraft. FTC is a crucial approach to enhance the reliability and safety of aircraft in the event of actuator, sensor, or structural failures. Engineers and scientists from diverse disciplines, including aeronautics, electrical, mechanical, and control engineering, have been drawn to research on FTC. This book analyzes the impact of faults on performance degradation in dissimilar redundant actuation systems of civil aircraft and presents the FTC methods to ensure reliable actuation and efficient control. Additionally, this book addresses surface damage issues, such as the loss of elevator, horizontal stabilizer, and rudder, by providing representative FTC methods. The book’s major highlight is its comprehensive and systematic approach to FTC design, making it an ideal resource for readers interested in learning about FTC design for civil aircraft. The book benefits researchers, engineers, and graduate students in the fields of FTC, adaptive control, flight control, etc.

This book provides a comprehensive analysis of fault tolerant control (FTC) for more-electric civil aircraft. FTC is a crucial approach to enhance the reliability and safety of aircraft in the event of actuator, sensor, or structural failures. Engineers and scientists from diverse disciplines, including aeronautics, electrical, mechanical, and control engineering, have been drawn to research on FTC. This book analyzes the impact of faults on performance degradation in dissimilar redundant actuation systems of civil aircraft and presents the FTC methods to ensure reliable actuation and efficient control. Additionally, this book addresses surface damage issues, such as the loss of elevator, horizontal stabilizer, and rudder, by providing representative FTC methods. The book’s major highlight is its comprehensive and systematic approach to FTC design, making it an ideal resource for readers interested in learning about FTC design for civil aircraft. The book benefits researchers, engineers, and graduate students in the fields of FTC, adaptive control, flight control, etc.