This book focuses on the design and analysis of protocols for cooperative wireless networks, especially at the medium access control (MAC) layer and for crosslayer design between the MAC layer and the physical layer. It highlights two main points that are often neglected in other books: energy-efficiency and spatial random distribution of wireless devices. Effective methods in stochastic geometry for the design and analysis of wireless networks are also explored.After providing a c...

This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experiments. Based on these methods, their applications include motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization are also presented. In thi...

Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networksThis book presents and investigates different methods and schemes for the control of robotic arms whilst exploring the field from all angles. On a more specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations.Kinematic Control of Redundant Robot...

This book delves into the dynamic issues of railway vehicles and track/bridge structures. This area has been a focus of railway engineering since the 1990s, driven by the speed-increasing of existing railway and the development of high-speed railway research in China. The book critically examines the dynamical interactions within the railway vehicle-track-bridge system subjected to track alignment, transcending the limitations of traditional quasi-static methods and offering a novel perspe...

Introduces a revolutionary, quadratic-programming based approach to solving long-standing problems in motion planning and control of redundant manipulatorsThis book describes a novel quadratic programming approach to solving redundancy resolutions problems with redundant manipulators. Known as ``QP-unified motion planning and control of redundant manipulators'' theory, it systematically solves difficult optimization problems of inequality-constrain...

Algae are sunlight-driven cell factories, and can efficiently absorb CO2 and convert light energy to chemical energy such as lipid, starch and other carbohydrates and release O2. Algal feedstock is a promising resource for bioproduct production, given its high photosynthetic efficiency for producing biomass compared to conventional crops. Microalgae can be used for flue-gas and wastewater bioremediation. This book highlights recent breakthroughs in the multidisciplinary areas of algal biot...

This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control; RNN for solving perturbed time-varying underdetermined linear systems; and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. Moreover, the book develops four advanced algorithms for robot calibration – Levenberg-Marquarelt with diversified ...

Comprehensive review of key topics in root science, including root architecture, root growth regulators, root anatomy and nutrient acquisitionCoverage of root response to both biotic and abiotic variablesDiscusses the range of techniques to optimize root function, from phenotyping to identify desirable root traits and exploiting the genetics of root traits to the use of plant growth-promoting rhizobacteria (PGPR) and arbuscular mycorrhizal fungi (AM)

This volume constitutes the refereed proceedings of the 19th International Symposium on Neural Networks, ISNN 2025, held in Zhangye, China, during August 22–24, 2025.The 52 full papers were carefully reviewed and selected from 60 submission. They were organized in topical sections as follows: Design, Modeling and Application of AI Algorithms; Signal, Image, and Video Processing; Modeling, Analysis, and Implementation of Neural Networks; Control Systems, Robotics, and Autonomous Dri...

Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it...

This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025.The 12 full papers in this book were carefully reviewed and selected from 27 submissions. These papers focus on the academic exploration of efficient methodologies within the realm of artificial in...

Introduction to Network Traffic Flow Theory: Principles, Concepts, Models, and Methods provides a comprehensive introduction to modern theories for modeling, mathematical analysis and traffic simulations in road networks. The book breaks ground, addressing traffic flow theory in a network setting and providing researchers and transportation professionals with a better understanding of how network traffic flows behave, how congestion builds and dissipates, and how to develop strategies to a...