Chunyan Wang – författare

Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer in the field of cooperative control of multi-agent systems. The book deals with UGVs, UAVs, UUVs and spacecraft, and more. It presents an extended exposition of the authors' recent work on all aspects of multi-agent technology. Modelling and cooperative control of multi-agent systems are topics of great interest, across both academia (research and education) and industry (for real applications and end-users). Graduate students and researchers from a wide spectrum of specialties in electrical, mechanical or aerospace engineering fields will use this book as a key resource.

Helps shape the reader's understanding of optimal and robust cooperative control design techniques for multi-agent systems Presents new theoretical control challenges and investigates unresolved/open problems Explores future research trends in multi-agent systems Offers a certain amount of analytical mathematics, practical numerical procedures, and actual implementations of some proposed approaches

Intensification plays a major role in spoken and written interaction, enabling the writer or speaker to express different levels of commitment. This book explores the patterns and meanings of intensifiers in Chinese learner English by ways of comparison with native English. The study is conducted within the theoretical framework of Firthian contextual theory of meaning, Sinclairian model of Extended Units of Meaning (EUM) and Hunston's pattern grammar. The method of contrastive inter-language analysis (CIA) is adopted and the intensifier collocations in learner English and native English are explored by means of quantitative and qualitative analyses of corpora data. This book is the first attempt to investigate the patterning and meaning features of intensifiers systematically with the corpora data in Chinese learner English. Readers will obtain a relatively complete picture of how Chinese learners use intensifiers to realize their attitudinal meanings.

This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a prediction and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles.Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented.About the AuthorsChunyan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zongyu Zuo is a full Professor with the School of Automation Science and Electrical Engineering, Beihang University, China.Jianan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zhengtao Ding is a Professor in the Department of Electrical and Electronic Engineering at University of Manchester, U.K.

This book presents a concise introduction to the latest advances in robust cooperative control design for multi-agent systems with input delay and external disturbances, especially from a prediction and observation perspective. The volume covers a wide range of applications, such as the trajectory tracking of quadrotors, formation flying of multiple unmanned aerial vehicles (UAVs) and fixed-time formation of ground vehicles.Robust cooperative control means that multi-agent systems are able to achieve specified control tasks while remaining robust in the face of both parametric and nonparametric model uncertainties. In addition, the authors cover a wide range of key issues in cooperative control, such as communication and input delays, parametric model uncertainties and external disturbances. Moving beyond the scope of existing works, a systematic prediction and observation approach to designing robust cooperative control laws is presented.About the AuthorsChunyan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zongyu Zuo is a full Professor with the School of Automation Science and Electrical Engineering, Beihang University, China.Jianan Wang is an Associate Professor in the School of Aerospace Engineering at Beijing Institute of Technology, China.Zhengtao Ding is a Professor in the Department of Electrical and Electronic Engineering at University of Manchester, U.K.

Intensification plays a major role in spoken and written interaction, enabling the writer or speaker to express different levels of commitment. This book explores the patterns and meanings of intensifiers in Chinese learner English by ways of comparison with native English. The study is conducted within the theoretical framework of Firthian contextual theory of meaning, Sinclairian model of Extended Units of Meaning (EUM) and Hunston's pattern grammar. The method of contrastive inter-language analysis (CIA) is adopted and the intensifier collocations in learner English and native English are explored by means of quantitative and qualitative analyses of corpora data. This book is the first attempt to investigate the patterning and meaning features of intensifiers systematically with the corpora data in Chinese learner English. Readers will obtain a relatively complete picture of how Chinese learners use intensifiers to realize their attitudinal meanings.

This book belongs to the field of intelligent vehicle control, which is dedicated to the research of nonlinear control problems of intelligent vehicle chassis-by-wire systems.

This book belongs to the field of intelligent vehicle control, which is dedicated to the research of nonlinear control problems of intelligent vehicle chassis-by-wire systems.

This book classifies existing negative Poisson's ratio materials and demonstrates its innovation in the research of negative Poisson's ratio materials by providing methods for the production of negative Poisson's ratio polymers and composites, as well as optimisation methods.