Xinping Guan – författare

Optimal Operation of Integrated Energy Systems Under Uncertainties: Distributionally Robust and Stochastic Models discusses new solutions to the rapidly emerging concerns surrounding energy usage and environmental deterioration. Integrated energy systems (IESs) are acknowledged to be a promising approach to increasing the efficiency of energy utilization by exploiting complementary (alternative) energy sources and storages. IESs show favorable performance for improving the penetration of renewable energy sources (RESs) and accelerating low-carbon transition. However, as more renewables penetrate the energy system, their highly uncertain characteristics challenge the system, with significant impacts on safety and economic issues.

To this end, this book provides systematic methods to address the aggravating uncertainties in IESs from two aspects: distributionally robust optimization and online operation.

This book reports on the latest findings concerning nonlinear control theory and applications. It presents novel work on several kinds of commonly encountered nonlinear time-delay systems, including those whose nonlinear terms satisfy high-order polynomial form or general nonlinear form, those with nonlinear input or a triangular structure, and so on. As such, the book will be of interest to university researchers, R&D engineers and graduate students in the fields of control theory and control engineering who wish to learn about the core principles, methods, algorithms, and applications of nonlinear time-delay systems.

As one of the core equipments and actuators, robotic technology has attracted much attention and has made great progress. However, a single robotic system is often unable to handle complex tasks due to limitations in sensors, microprocessors, actuators, and the ability to handle complex situations. With the development of distributed control and microprocessing technology, networked robotic systems have greatly expanded their perceptual, computational, and execution capabilities, with high efficiency, low cost, and strong functionality advantages. As a typical distributed cyber-physical system (DCPS), which is an intelligent system that integrates computing, communication, and control, networked robotic systems can perform higher-level tasks by sharing information and working together. It can provide intelligent control and monitoring of a physical process, such as environment observation, information collection, and search and rescue, etc. Thus, coordination control of networked robotic systems has become the focus of scholars worldwide. However, the sensing, communication, and control integration of networked robotic systems make them face unprecedented network security threats, in which cyber attacks have become a major hidden danger to the reliable operation of autonomous unmanned systems. Although existing control methods can achieve swarm collaborative control of networked robotic systems, the protection of which, especially the security of control systems, is rarely addressed.

In this book, we conduct research on the secure coordination problem of networked robotic systems from a control theory perspective, given the limited communication bandwidth and the increasingly prominent network security threats. This book showcases several continuous-time and event-triggered secure control design and analysis methods for networked robotic systems under different types of cyberattacks. Additionally, several future research directions are provided for networked robotic systems. This book will be an important reference for scientists, engineers, and graduate students from the field of underwater robotic technologies, maritime science, and control engineering.