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This book systematically discusses the intelligent scheduling problem of complex semiconductor manufacturing systems from theory to method and then to application. The main contents include data-driven scheduling framework of semiconductor manufacturing system, data preprocessing of semiconductor manufacturing system, correlation analysis of performance index of semiconductor production line, intelligent release control strategy, dynamic dispatching rules simulating pheromone mechanism, and load balancing dynamic scheduling of semiconductor production line, performance index-driven dynamic scheduling method of semiconductor production line, scheduling trend of semi-conductor manufacturing system in big data environment.This book aims to provide readers with valuable reference and assistance in the theoretical methods, techniques, and application cases of semiconductor manufacturing systems and their intelligent scheduling.

The book focuses on joining of advanced materials such as ceramics, intermetallics, laminated materials, composite materials and functional materials considering both in theory and in practice. It also covers details of joint design, weldability and quality assurance of the product. Both principles and engineering practice have been addressed to show advanced, scientific and novelty features. The latest research on advanced joining technology is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in joining of advanced materials. The book can benefit researchers, engineers and graduate students in the fields of joining, materials design and manufacturing, etc.

This book focuses on 3D printing and molding/ copying technologies and approaches, which innovatively proposes the concept of polymer 3D copying technology. It introduces the two technologies of polymer 3D printing and 3D copying by analogy and elaborates the core principles and processes of polymer 3D copying technology, the composition, basic parameters and structure design of polymer 3D copying machines, precision control methods, defect generation mechanism and solutions of polymer 3D copying products, and also discussed the future development of polymer 3D copying technology. The novel concept of 3D copying is one of the major features of the book, which is particularly suited for readers who are interested in rapid prototyping and molding. The book is based on both traditional and new knowledges, with novel content and concept, focusing on both principles and engineering practice. It systematically reflects the content and application of polymer 3D printing and 3D copying technology, which can benefit researchers, engineers, and students of related majors engaged in the fields of polymer processing, rapid prototyping, 3D printing and molding/ copying, etc.

This book focuses on the distributed control and estimation of large-scale networked distributed systems and the approach of distributed model predictive and moving horizon estimation. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing an in-depth study on several major topics such as the state estimation and control design for the networked system with considering time-delay, data-drop, etc., Distributed MPC design for improving the performance of the overall networked system, which includes several classic strategies for different scenarios, details of the application of the distributed model predictive control to smart grid system and distributed water network. The comprehensive and systematic treatment of theoretical and practical issues in distributed MPC for networked systems is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in distributed estimation and optimization of distributed networked systems. The book benefits researchers, engineers, and graduate students in the fields of chemical engineering, control theory and engineering, electrical and electronic engineering, chemical engineering, and computer engineering, etc.

This book focuses on the core technologies of special robots. Both principles and engineering practice have been addressed. This is achieved by providing an in-depth study on several major topics such as the vision positioning of mobile robots, the autonomous motion control of ruin search and rescue robots, and typical applications of text questions and answers robots. The autonomous motion control technologies of ruin search and rescue robots and typical applications of text questions and answers robots are the major features of the book. The book benefits researchers, engineers, senior undergraduate students, and postgraduate students in the fields of visual positioning, path planning, autonomous motion control, and typical applications of special robots.

This book focuses on the basic common technologies of smart manufacturing system and smart workshop. The applications of artificial intelligence in manufacturing system have been addressed from different perspectives, for example, smart optimization of cutting parameters, smart process planning, smart workshop and scheduling, and smart integration of process planning and scheduling. In the process of writing, this book highlights the combination of basic theory and engineering practice. In the basic theory part, the book clearly explains the basic issues of smart manufacturing system, including the core support technology of smart manufacturing, the basic theories and models of cutting parameter optimization, process optimization and scheduling, and the basic concepts and intelligence of smart manufacturing workshop model, optimization methods, etc. In the engineering practice part, this book enumerates a large number of research cases, trying to clearly demonstrate the basic problems of manufacturing system intelligence, and each chapter is accompanied by typical cases to help readers better understand and master the basic theories involved in stamping.

Image denoising, image deblurring, image inpainting, super-resolution, and compressed sensing reconstruction have important application value in engineering practice, and they are also the hot frontiers in the field of image processing. This book focuses on the numerical analysis of ill condition of imaging inverse problems and the methods of solving imaging inverse problems based on operator splitting. Both algorithmic theory and numerical experiments have been addressed. The book is divided into six chapters, including preparatory knowledge, ill-condition numerical analysis and regularization method of imaging inverse problems, adaptive regularization parameter estimation, and parallel solution methods of imaging inverse problem based on operator splitting. Although the research methods in this book take image denoising, deblurring, inpainting, and compressed sensing reconstruction as examples, they can also be extended to image processing problems such as image segmentation, hyperspectral decomposition, and image compression. This book can benefit teachers and graduate students in colleges and universities, or be used as a reference for self-study or further study of image processing technology engineers.This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.