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Kategorie szczegółowe BISAC

Distributed Decision Making and Control

ISBN-13: 9781447122647 / Angielski / Miękka / 2011 / 426 str.

Distributed Decision Making and Control  9781447122647 Springer, Berlin - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Distributed Decision Making and Control

ISBN-13: 9781447122647 / Angielski / Miękka / 2011 / 426 str.

cena 402,53
(netto: 383,36 VAT:  5%)

Najniższa cena z 30 dni: 385,52
Termin realizacji zamówienia:
ok. 22 dni roboczych.

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This text covers mathematical treatment of problems in distributed control, decision and multiagent systems, including scalable methods and tools for modeling, analysis and control synthesis, and reliable implementations using networked embedded systems.

Distributed Decision Making and Control is a mathematical treatment of relevant problems in distributed control, decision and multiagent systems, The research reported was prompted by the recent rapid development in large-scale networked and embedded systems and communications. One of the main reasons for the growing complexity in such systems is the dynamics introduced by computation and communication delays. Reliability, predictability, and efficient utilization of processing power and network resources are central issues and the new theory and design methods presented here are needed to analyze and optimize the complex interactions that arise between controllers, plants and networks. The text also helps to meet requirements arising from industrial practice for a more systematic approach to the design of distributed control structures and corresponding information interfaces Theory for coordination of many different control units is closely related to economics and game theory network uses being dictated by congestion-based pricing of a given pathway. The text extends existing methods which represent pricing mechanisms as Lagrange multipliers to distributed optimization in a dynamic setting. In Distributed Decision Making and Control, the main theme is distributed decision making and control with contributions to a general theory and methodology for control of complex engineering systems in engineering, economics and logistics. This includes scalable methods and tools for modeling, analysis and control synthesis, as well as reliable implementations using networked embedded systems. Academic researchers and graduate students in control science, system theory, and mathematical economics and logistics will find mcu to interest them in this collection, first presented orally by the contributors during a sequence of workshops organized in Spring 2010 by the Lund Center for Control of Complex Engineering Systems, a Linnaeus Center at Lund University, Sweden.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Automation
Mathematics > Teoria gier
Science > System Theory
Wydawca:
Springer, Berlin
Seria wydawnicza:
Lecture Notes in Control and Information Sciences
Język:
Angielski
ISBN-13:
9781447122647
Rok wydania:
2011
Wydanie:
2012
Numer serii:
000034709
Ilość stron:
426
Waga:
0.65 kg
Wymiary:
14.9 x 24.0 x 1.9
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

From the Contents: Primal and Dual Criteria for Robust Stability Applied to Large-scale Systems.- Recursive Bargaining with Dynamic Accumulation.- Optimal Controller Synthesis for a Decentralized Two-player Linear-quadratic Regulator via Spectral Factorization.- Monotone Games for Cognitive Radio Systems.- Decentralized Control with Communication Bandwidth Constraints.- Distributed Nonlinear Estimation for Diverse Sensor Devices.- Performance Prediction in Uncertain Multi-agent Systems Using L1-adaptation-based Distributed Event-triggering.

Distributed Decision Making and Control is a mathematical treatment of relevant problems in distributed control, decision and multiagent systems, The research reported was prompted by the recent rapid development in large-scale networked and embedded systems and communications. One of the main reasons for the growing complexity in such systems is the dynamics introduced by computation and communication delays. Reliability, predictability, and efficient utilization of processing power and network resources are central issues and the new theory and design methods presented here are needed to analyze and optimize the complex interactions that arise between controllers, plants and networks. The text also helps to meet requirements arising from industrial practice for a more systematic approach to the design of distributed control structures and corresponding information interfaces Theory for coordination of many different control units is closely related to economics and game theory network uses being dictated by congestion-based pricing of a given pathway. The text extends existing methods which represent pricing mechanisms as Lagrange multipliers to distributed optimization in a dynamic setting. In Distributed Decision Making and Control, the main theme is distributed decision making and control with contributions to a general theory and methodology for control of complex engineering systems in engineering, economics and logistics. This includes scalable methods and tools for modeling, analysis and control synthesis, as well as reliable implementations using networked embedded systems. Academic researchers and graduate students in control science, system theory, and mathematical economics and logistics will find mcu to interest them in this collection, first presented orally by the contributors during a sequence of workshops organized in Spring 2010 by the Lund Center for Control of Complex Engineering Systems, a Linnaeus Center at Lund University, Sweden.>



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