ISBN: 9781611978919 - incentive based control via game theory (advances in design and control) (9 resultados)

paperback. Condición: Fine. Mint in publisher shrink.

Paperback. Condición: Brand New. 283 pages. 10.00x7.00x0.80 inches. In Stock.

Paperback. Condición: 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.…

Paperback. Condición: 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. …

Condición: New. 2026. paperback. . . . . .

Condición: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condición: 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: 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. …

Paperback. Condición: 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.…