This book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things. Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.

The first edition of this monograph, presenting accurate and efficient simulations of seismic damage to buildings and cities, has received significant attention from the research community. To keep abreast of the rapid development in recent years, our latest breakthrough achievements have been added to this new edition, including novel resilient structural components, secondary disaster simulations, emergency responses and resilient recovery of communities after earthquake. This edition comprehensively covers a range of numerical modeling approaches, higher performance computation methods, and high fidelity visualization techniques for earthquake disaster simulation of tall buildings and urban areas. It also demonstrates successful engineering applications of the proposed methodologies to typical landmark projects (e.g., Shanghai Tower and CITIC Tower, two of the world's tallest buildings; Beijing CBD and San Francisco Bay Area). Reported in this edition are a collection of about 60 high impact journal publications which have already received high citations.

Based on more than 12 years of systematic investigation on earthquake disaster simulation of civil infrastructures, this book covers the major research outcomes including a number of novel computational models, high performance computing methods and realistic visualization techniques for tall buildings and urban areas, with particular emphasize on collapse prevention and mitigation in extreme earthquakes, earthquake loss evaluation and seismic resilience. Typical engineering applications to several tallest buildings in the world (e.g., the 632 m tall Shanghai Tower and the 528 m tall Z15 Tower) and selected large cities in China (the Beijing Central Business District, Xi'an City, Taiyuan City and Tangshan City) are also introduced to demonstrate the advantages of the proposed computational models and techniques. The high-fidelity computational model developed in this book has proven to be the only feasible option to date for earthquake-induced collapse simulation of supertall buildings that are higher than 500 m. More importantly, the proposed collapse simulation technique has already been successfully used in the design of some real-world supertall buildings, with significant savings of tens of thousands of tons of concrete and steel, whilst achieving a better seismic performance and safety. The proposed novel solution for earthquake disaster simulation of urban areas using nonlinear multiple degree-of-freedom (MDOF) model and time-history analysis delivers several unique advantages: (1) true representation of the characteristic features of individual buildings and ground motions; (2) realistic visualization of earthquake scenarios, particularly dynamic shaking of buildings during earthquakes; (3) detailed prediction of seismic response and losses on each story of every building at any time period. The proposed earthquake disaster simulation technique has been successfully implemented in the seismic performance assessments and earthquake loss predictions of several central cities in China. The outcomes of the simulation as well as the feedback from the end users are encouraging, particularly for the government officials and/or administration department personnel with limited professional knowledge of earthquake engineering. The book offers readers a systematic solution to earthquake disaster simulation of civil infrastructures. The application outcomes demonstrate a promising future of the proposed advanced techniques. The book provides a long-awaited guide for academics and graduate students involving in earthquake engineering research and teaching activities. It can also be used by structural engineers for seismic design of supertall buildings.

The first edition of this monograph, presenting accurate and efficient simulations of seismic damage to buildings and cities, has received significant attention from the research community. To keep abreast of the rapid development in recent years, our latest breakthrough achievements have been added to this new edition, including novel resilient structural components, secondary disaster simulations, emergency responses and resilient recovery of communities after earthquake. This edition comprehensively covers a range of numerical modeling approaches, higher performance computation methods, and high fidelity visualization techniques for earthquake disaster simulation of tall buildings and urban areas. It also demonstrates successful engineering applications of the proposed methodologies to typical landmark projects (e.g., Shanghai Tower and CITIC Tower, two of the world's tallest buildings; Beijing CBD and San Francisco Bay Area). Reported in this edition are a collection of about 60 high impact journal publications which have already received high citations.