Generalized Nash Equilibrium Seeking in Population Games: Applications in the Control of Large-Scale Multi-Agent Systems
暫譯: 人口遊戲中的廣義納什均衡尋找：在大規模多代理系統控制中的應用

Martinez-Piazuelo, Juan, Ocampo-Martinez, Carlos, Quijano, Nicanor

Generalized Nash Equilibrium Seeking in Population Games: Applications in the Control of Large-Scale Multi-Agent Systems
  • 出版商: Springer
  • 出版日期: 2026-01-28
  • 售價: $6,970
  • 貴賓價: 9.5 折 $6,621
  • 語言: 英文
  • 頁數: 224
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303206080X
  • ISBN-13: 9783032060808
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

This book is a comprehensive, self-contained guide to generalized Nash equilibrium (GNE) seeking methods for population games focused on optimizing the control of large-scale complex systems (LSCSs). It equips readers with the tools needed to model and solve non-cooperative multi-agent interactions using GNE methods. This provides a novel framework for tackling real-world problems like congestion management, energy systems, and dynamic resource allocation. The approaches in this book will benefit both researchers and practitioners because, by framing optimization-based control tasks as GNE problems and relying on the population games framework, they enable more robust, scalable solutions to challenges involving LSCSs.

The book is structured to guide readers from foundational concepts such as variational inequalities and dissipativity theory, to advanced topics like the design of evolutionary and payoff dynamics models for distributed systems. The clear progression from theory to application is enhanced by numerous hands-on examples and fully documented Python code allowing readers to replicate and customize the book's simulations for deeper understanding. Features of the text include:

    detailed illustrations of theoretical concepts, solutions to practical problems and a unique focus on integrating game theory with optimization-based control.
This blend of rigorous theory and practical application makes this book a valuable resource for both students and professionals in the field of control systems and multi-agent decision-making.

商品描述(中文翻譯)

本書是一本全面且獨立的指南，專注於針對優化大型複雜系統（LSCSs）控制的廣義納什均衡（GNE）尋求方法的群體遊戲。它為讀者提供了使用GNE方法建模和解決非合作多代理互動所需的工具。這為解決現實世界中的問題，如擁堵管理、能源系統和動態資源分配，提供了一個新穎的框架。本書中的方法將使研究人員和實務工作者受益，因為通過將基於優化的控制任務框架化為GNE問題，並依賴於群體遊戲框架，它們能夠為涉及LSCSs的挑戰提供更穩健、可擴展的解決方案。

本書的結構旨在引導讀者從基礎概念，如變分不等式和耗散理論，進入到進階主題，如分散系統的演化和報酬動態模型設計。從理論到應用的清晰進展，通過眾多實作範例和完整記錄的Python代碼得以增強，讓讀者能夠複製和自訂書中的模擬，以加深理解。文本的特點包括：

- 理論概念的詳細插圖，
- 實際問題的解決方案，以及
- 將博弈理論與基於優化的控制整合的獨特重點。

這種嚴謹的理論與實際應用的結合，使本書成為控制系統和多代理決策領域中學生和專業人士的寶貴資源。

作者簡介

Doctor Juan Martinez-Piazuelo has made notable contributions to the research and development of optimization-based control strategies for large-scale complex systems using game-theoretical approaches. His expertise spans evolutionary game theory, generalized Nash equilibrium problems, and distributed optimization, all focused on large-scale, non-cooperative multi-agent systems with real-world applications. His research has been widely published in high-impact scientific journals and presented at prestigious international conferences.

Professor Carlos Ocampo-Martinez has been deeply engaged in research and development in the management and control of large-scale complex systems, particularly in the domains of water and energy. His work spans evolutionary game theory, model predictive control, and distributed optimization techniques for managing complex networks. With a strong focus on real-world applications, he has published over a hundred of high-impact journal articles, covering topics such as decentralized control for urban water and energy systems, predictive control of complex networks, and the management of clean energy production. Additionally, he has authored and edited several influential books with Springer, focusing on advanced control strategies for large-scale systems.

Professor Nicanor Quijano is an expert in the modeling and control of distributed network optimization systems, particularly those that are utilized in the fields of agriculture, energy, and urban drainage systems. His research has mostly concentrated on topics such as real-time management of urban drainage and irrigation systems, dynamic population games for optimal dispatch in hierarchical microgrid control, and the dispatch of distributed generators employing population dynamics. His knowledge in these areas provides relevant insights into the issues and solutions connected with integrating energy vectors as well as the water-energy-food nexus, which is paramount in this sort of research problem. His work has been published in a number of peer-reviewed journals.

作者簡介(中文翻譯)

醫生胡安·馬丁內斯-皮亞祖埃洛在使用博弈論方法針對大型複雜系統的優化控制策略的研究與開發方面做出了顯著貢獻。他的專業領域涵蓋進化博弈論、廣義納什均衡問題和分散式優化，所有研究均專注於具有現實應用的大型非合作多代理系統。他的研究成果已在高影響力的科學期刊上廣泛發表，並在多個國際知名會議上進行報告。

教授卡洛斯·奧坎波-馬丁內斯在大型複雜系統的管理與控制方面，特別是在水資源和能源領域，深度參與研究與開發。他的工作涵蓋進化博弈論、模型預測控制和分散式優化技術，用於管理複雜網絡。專注於現實應用，他已發表超過一百篇高影響力的期刊文章，內容包括城市水資源和能源系統的去中心化控制、複雜網絡的預測控制以及清潔能源生產的管理。此外，他還與Springer合作撰寫和編輯了幾本有影響力的書籍，專注於大型系統的先進控制策略。

教授尼卡諾爾·基哈諾是分散式網絡優化系統建模與控制的專家，特別是在農業、能源和城市排水系統等領域。他的研究主要集中在城市排水和灌溉系統的實時管理、層級微電網控制中的動態人口博弈以實現最佳調度，以及利用人口動態進行分散式發電機的調度等主題。他在這些領域的知識為解決與能源載體整合以及水-能源-食品聯結相關的問題提供了重要見解，這在此類研究問題中至關重要。他的研究成果已在多個同行評審的期刊上發表。

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