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The motor drive system plays a significant role in the safety and function of electric vehicles as a bridge for power transmission. In order to enhance the efficiency and stability of the drive system, more and more studies based on AI technology are devoted to the fault detection and diagnosis of the motor drive system.

AIoT for Smart Transportation: Transforming the future of mobility explores the convergence of artificial intelligence (AI) and the internet of things (IoT) technologies in the context of modern transportation systems.

Unmanned marine vehicles (UMVs) is a collective term used to describe autonomous underwater vehicles, remotely operated vehicles, semi-submersibles, and unmanned surface craft. Considerable interest has been shown in UMVs by the military, civilian and scientific communities due to their ability to undertake designated missions whilst either operating autonomously and/or on co-operation with other types of vehicle. Increasing importance is also being placed on the design and development of such vehicles as they are capable of providing cost effective solutions to a number of littoral, coastal and offshore problems. This book draws attention to the advanced technology which is evolving to meet the challenges being posed in this exciting and growing field of study.

In a large and complex system, such as a railway network, it is often not an option to stop operation at any time. Even if a part of the system fails, is being repaired or modified, the system has to keep functioning. This leads to many requirements for on-line expansion, on-line maintenance, and fault-tolerance. Dynamic changes demand next-generation control, information and service systems to be based on adaptive, reliable and reusable technologies and applications. Such systems are expected to have the characteristics of living systems composed of largely autonomous and decentralized components. Hence they are called Autonomous Decentralized Systems (ADS).