Engineering systems in the new economy are increasingly shaped by sharing – shared logistics, joint investments, virtual power plants, and more – a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty.
Incentive Based Control via Game Theory stands apart from existing literature by offering
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dario Bauso is has been with the Jan C. Willems Center for Systems and Control, ENTEG, Faculty of Science and Engineering, University of Groningen since 2018, where he is currently Full Professor and Chair of Operations Research for Engineering Systems. He has been with the Dipartimento di Ingegneria, University of Palermo since 2005 and a guest professor at Keio University in Japan since 2018. He is the author of the book Game Theory with Engineering Applications, published by SIAM in 2016.
Tamer Başar is the Swanlund Endowed Chair Emeritus, CAS Professor Emeritus of ECE, and Research Professor, CSL and ITI, at the University of Illinois at Urbana-Champaign. He is a member of the US National Academy of Engineering, American Academy of Arts and Sciences, Academia Europaea, and a Fellow of IEEE, IFAC, SIAM, ACA, AIIA, and AAIA. He was Editor-in-Chief of Automatica from 2004-2014 and is editor of several book series. He is a co-author with Geert Jan Olsder of the book Noncooperative Game Theory (SIAM, 1998).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : New. Engineering systems in the new economy are increasingly shaped by sharing - shared logistics, joint investments, virtual power plants, and more - a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty. Incentive Based Control via Game Theory stands apart from existing literature by offering a design-oriented approach that focuses on using game theory to design mechanisms and control strategies that guide self-interested agents toward stable and socially desirable outcomes in dynamic, uncertain systems; novel engineering-focused content that introduces advanced topics rarely covered in game theory and engineering texts, including dynamic coalitional games, reverse Stackelberg games, and rigorously analysed best-response dynamics; and an application-driven perspective that combines mathematical rigor with real-world engineering applications, showing how theory translates into practical implementation. N° de réf. du vendeur LU-9781611978919
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Paperback. Etat : new. Paperback. Engineering systems in the new economy are increasingly shaped by sharing shared logistics, joint investments, virtual power plants, and more a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty. Incentive Based Control via Game Theory stands apart from existing literature by offering a design-oriented approach that focuses on using game theory to design mechanisms and control strategies that guide self-interested agents toward stable and socially desirable outcomes in dynamic, uncertain systems; novel engineering-focused content that introduces advanced topics rarely covered in game theory and engineering texts, including dynamic coalitional games, reverse Stackelberg games, and rigorously analysed best-response dynamics; and an application-driven perspective that combines mathematical rigor with real-world engineering applications, showing how theory translates into practical implementation. Bridging game theory and control systems, the work tackles decentralized decision-making in a sharing economy. It models and optimizes multiagent interactions in production, logistics, and energy, using feedback, learning, and decision-making under uncertainty to steer self-interested agents toward socially beneficial outcomes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781611978919
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Paperback. Etat : new. Paperback. Engineering systems in the new economy are increasingly shaped by sharing shared logistics, joint investments, virtual power plants, and more a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty. Incentive Based Control via Game Theory stands apart from existing literature by offering a design-oriented approach that focuses on using game theory to design mechanisms and control strategies that guide self-interested agents toward stable and socially desirable outcomes in dynamic, uncertain systems; novel engineering-focused content that introduces advanced topics rarely covered in game theory and engineering texts, including dynamic coalitional games, reverse Stackelberg games, and rigorously analysed best-response dynamics; and an application-driven perspective that combines mathematical rigor with real-world engineering applications, showing how theory translates into practical implementation. Bridging game theory and control systems, the work tackles decentralized decision-making in a sharing economy. It models and optimizes multiagent interactions in production, logistics, and energy, using feedback, learning, and decision-making under uncertainty to steer self-interested agents toward socially beneficial outcomes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781611978919
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Paperback. Etat : New. Engineering systems in the new economy are increasingly shaped by sharing - shared logistics, joint investments, virtual power plants, and more - a shift that calls for models that capture decentralized decision-making, resource pooling, and cooperative infrastructure. Across production, transportation, logistics, and energy, a central challenge is modeling and optimizing collective actions. This book aims to bridge game theory and systems and control by developing tools for incentive-based control in dynamic, uncertain, and networked multiagent systems; it extends both cooperative and noncooperative game models into a control-oriented framework, emphasizing feedback, learning, and decision-making under uncertainty. Incentive Based Control via Game Theory stands apart from existing literature by offering a design-oriented approach that focuses on using game theory to design mechanisms and control strategies that guide self-interested agents toward stable and socially desirable outcomes in dynamic, uncertain systems; novel engineering-focused content that introduces advanced topics rarely covered in game theory and engineering texts, including dynamic coalitional games, reverse Stackelberg games, and rigorously analysed best-response dynamics; and an application-driven perspective that combines mathematical rigor with real-world engineering applications, showing how theory translates into practical implementation. N° de réf. du vendeur LU-9781611978919
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