Hao Shen – författare

This issue contains 16 peer-reviewed papers (invited and contributed) incorporating the latest developments related to synthesis, processing and manufacturing technologies of nanoscaled materials and systems including one-dimensional nanostructures, nanoparticle-based composites, electrospinning of nanofibers, functional thin films, ceramic membranes, bioactive materials and self-assembled functional nanostructures and nanodevices. These papers discuss several important aspects related to fabrication and engineering issues necessary for understanding and further development of processing and manufacturing of nanostructured materials and systems.

This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system's stability and performance. This book discusses how to deal with such constraints to guarantee the system's design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques.

This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.

This book comprehensively covers the topics of origin and distribution, evolution and types, regional and global importance, biodiversity conservation, plant-soil interfaces, ecosystem functions and services, social-ecological systems, climate change adaptations, land degradation and restoration, grazing management and pastoral production, and sustainable future of the grasslands on the Qinghai-Tibetan Plateau (QTP), which is a globally unique eco-region called the "Roof of the World" because of its high elevation, “Third Pole on Earth" because of its alpine environment and the "Water Tower in Asia" because of its headwater location. The grassland ecosystem covers above 60% of QTP, which is about 2.5 million km2, 1/4 of Chinese total territorial lands.

The grassland ecosystem of the QTP (the Third Pole) is an important part of the palaearctic region, which features alpine cover and low oxygen. The Third Pole''s grasslands not only provide important ecosystem functions such as biodiversity conservation, carbon storage, water resource regulation, climate control, and natural disaster mitigation at a global scale, but also provide critical ecosystem services such as pastoral production, cultural inheritance, and tourism and recreation at local and regional scales.

The purposes of this monograph are to address the following questions: (1) What are the special features of the Third Pole''s grasslands? (2) How have climate changes and human activities changed the structures and functions of the Third Pole''s grasslands? (3) How can we cope with land degradation and climate change through innovative restoration and protective actions for Third Pole''s grasslands? And (4) How can we promote the sustainable development of social-ecological systems of the Third Pole''s grasslands through best management practices including grazing. The goal of this book is to attract the attention of international audiences to realize the importance of the Third Pole’s grasslands, and to call for the actions of global communities to effectively protect and sustainably use the Third Pole''s grasslands. This book can be served as textbooks, teaching materials and documentaries for different audiences. The target audiences include students, teachers, researchers, policy makers, planners, government officials, and NGOs in agricultural, environmental and natural resources sectors.

This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques.

This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.

In this book, various singularly perturbed jump system models in continuous-time or discrete-time domain, such as Markov jump singularly perturbed systems, semi-Markov jump singularly perturbed systems, hidden Markov jump singularly perturbed systems, and singularly perturbed jump complex network model, have been considered for some control synthesis problems. Also, some partial probability information cases are taken into account when addressing those control synthesis problems. To show the effectiveness and applicability of the obtained results, some numerical examples and practical industrial model examples are given.