{"product_id":"9789819253142","title":"Distributed Optimization and Resource Allocation of High-Order Nonlinear Multi-Agent Systems Backstepping, Consensus, and Learning-Based Methods","description":"\u003ch3\u003eIntelligent Control and Learning Systems\u003c\/h3\u003e\u003ch1\u003eDistributed Optimization and Resource Allocation of High-Order Nonlinear Multi-Agent Systems\u003c\/h1\u003e\u003ch2\u003eBackstepping, Consensus, and Learning-Based Methods\u003c\/h2\u003e\u003ch3\u003eCheng Li | Jiaxin Yuan | Qingxiang Ao\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Optimization\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003eThis book provides a unified and practical framework for solving distributed optimization and resource allocation problems in nonlinear multi-agent systems under complex dynamic environments. It enables readers to design control strategies that achieve fast convergence, robustness against disturbances, and resilience to communication and security constraints. The book presents a series of advanced methodologies, including finite-time, fixed-time, and predefined-time optimization control, disturbance rejection via observer-based techniques, and learning-based approaches using adaptive dynamic programming (ADP). It also introduces event-triggered mechanisms to reduce communication burden and observer-driven strategies to address false data injection attacks. These topics are of particular interest as they bridge the gap between theoretical optimization and real-world control implementation. Special features of the book include a unified optimization–control perspective, systematic integration of multiple time-constrained control schemes, and application-oriented case studies such as quadrotor UAV swarm coordination. The presentation combines rigorous theoretical analysis with intuitive explanations, supported by illustrative figures, structured frameworks, and comparative simulations. Readers will gain both theoretical insight and practical tools for addressing optimization and control challenges in networked systems. This book is intended for researchers, graduate students, and engineers in control systems, multi-agent systems, robotics, and intelligent networked systems.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cstrong\u003eDr. Cheng Li\u003c\/strong\u003e received the Ph.D. degree in Management Science and Engineering. He is currently a Professor and the Dean of the College of Air Transportation (Flight College) at Shanghai University of Engineering Science, Shanghai, China. He also serves as a Member of the Academic Committee of the university and the Chair of the College Academic Committee. Dr. Li’s research interests include intelligent transportation systems, aviation operations management, and optimization in complex engineering systems. He has extensive experience in academic administration and interdisciplinary research. He has served as Deputy Party Secretary and Vice Dean of the College of Air Transportation (2014–2024), and was a Visiting Scholar at Tongji University from 2013 to 2014. He is actively engaged in professional societies, serving as a Standing Director of the Shanghai Society of Aeronautics, a member of its Academic Committee, an expert in the Shanghai Science and Technology Expert Database, a science popularization expert of the Chinese Society of Aeronautics and Astronautics, and a research fellow of the China Society of Logistics. His work contributes to bridging academic research and engineering applications in aviation and transportation systems.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDr. Jiaxin Yuan\u003c\/strong\u003e received his M.S. degree from Xi’an Jiaotong University, Xi’an, China, in 2013, and the Ph.D. degree from Shanghai Jiao Tong University, Shanghai, China, in 2018. He was a Visiting Scholar at Shaanxi Normal University in 2022. He is currently an Associate Professor with the Shanghai University of Engineering Science, Shanghai, China. Dr. Yuan’s research focuses on distributed optimization and control of nonlinear multi-agent systems, including resource allocation, time-constrained control, disturbance rejection, and intelligent control of UAV systems. He has published multiple peer-reviewed papers in leading international journals and has been actively involved in academic research and engineering applications in networked control systems. His recent work emphasizes the integration of optimization and control, as well as learning-based approaches for complex dynamic systems.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQingxiang Ao\u003c\/strong\u003e is currently a graduate student at the Shanghai University of Engineering Science, Shanghai, China. His research interests include distributed optimization and control of nonlinear multi-agent systems, adaptive dynamic programming, and time-constrained control methods. His recent work focuses on resource allocation, disturbance rejection, and intelligent coordination of UAV systems.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e14 October 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eMarine S\u0026amp;T Fund of Shandong Province\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819253142\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Marine S\u0026T Fund of Shandong Province","offers":[{"title":"Default Title","offer_id":51691570233484,"sku":"9789819253142","price":152.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819253142","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}