YangQuan Chen – författare

This book is the first of its kind on fractional calculus (FC), dedicated to advocating for FC in STEM education and research.

Fractional calculus is increasingly used today, but there remains a core population of skeptics regarding the utility of this "new" calculus. This book is intended for those who are skeptical about the need for fractional calculus to describe dynamic complex networks and must be convinced of its use on a case-by-case basis. It is a one-stop resource to rapidly read and replace the appropriate skepticism with new knowledge. It offers compelling reasons from the perspectives of the physical, social, and life sciences as to why fractional calculus is needed when addressing the complexity of an underlying STEM phenomenon. The six chapters are accompanied by useful and essential appendices and chapter-end references. Each includes new (fractional-order) ways of thinking about statistics, complexity dynamics, and what constitutes a solution to a complexity science problem.

The book will appeal to students and researchers in all STEM-related fields, such as engineering, physics, biology and biomedicine, climate change, big data, and machine learning. It is also suitable for general readers interested in these fields.

This book is the first of its kind on fractional calculus (FC), dedicated to advocating for FC in STEM education and research.

Fractional calculus is increasingly used today, but there remains a core population of skeptics regarding the utility of this "new" calculus. This book is intended for those who are skeptical about the need for fractional calculus to describe dynamic complex networks and must be convinced of its use on a case-by-case basis. It is a one-stop resource to rapidly read and replace the appropriate skepticism with new knowledge. It offers compelling reasons from the perspectives of the physical, social, and life sciences as to why fractional calculus is needed when addressing the complexity of an underlying STEM phenomenon. The six chapters are accompanied by useful and essential appendices and chapter-end references. Each includes new (fractional-order) ways of thinking about statistics, complexity dynamics, and what constitutes a solution to a complexity science problem.

The book will appeal to students and researchers in all STEM-related fields, such as engineering, physics, biology and biomedicine, climate change, big data, and machine learning. It is also suitable for general readers interested in these fields.

With the help of a Voronoi diagram, this book systematically discusses how to solve the core cooperative control problem in a multi-robot system. From basic theory to cutting-edge applications, Robotic Swarming Control via Voronoi Tessellations: Foundations and Applications provides a comprehensive overview of the subject matter, offering readers a rigorous and practical knowledge system.

Central to this book''s contribution is its transformation of centroidal Voronoi tessellations (CVT) theory into innovative multi-robot control algorithms. The effectiveness and superiority of these algorithms are verified through numerous simulations and real-environment experiments. The book demonstrates the deep integration of mathematical geometry and robotics, offering universal solutions for swarm intelligence in complex environments. It serves as an authoritative guide, bridging the gap between theoretical geometry and robotics engineering practice.

This book will be invaluable to scholars and students of robotics, automation, control engineering, and computer science.

With the help of a Voronoi diagram, this book systematically discusses how to solve the core cooperative control problem in a multi-robot system. From basic theory to cutting-edge applications, Robotic Swarming Control via Voronoi Tessellations: Foundations and Applications provides a comprehensive overview of the subject matter, offering readers a rigorous and practical knowledge system.

Central to this book''s contribution is its transformation of centroidal Voronoi tessellations (CVT) theory into innovative multi-robot control algorithms. The effectiveness and superiority of these algorithms are verified through numerous simulations and real-environment experiments. The book demonstrates the deep integration of mathematical geometry and robotics, offering universal solutions for swarm intelligence in complex environments. It serves as an authoritative guide, bridging the gap between theoretical geometry and robotics engineering practice.

This book will be invaluable to scholars and students of robotics, automation, control engineering, and computer science.

Scientific Computing with MATLAB®, Second Edition improves students’ ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter.

The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.