| Description |
1 online resource (xxix, 421 pages) : color portraits |
| Series |
Lecture notes in control and information sciences, 0170-8643 ; 417 |
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Lecture notes in control and information sciences ; 417.
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| Contents |
Primal and dual criteria for robust stability applied to large scale systems -- Optimal controller synthesis for a decentralized two-player linear-quadratic regulator via spectral factorization -- Decentralized control with communication bandwidth constraints -- Monotone games for cognitive radio systems -- A mechanism design approach to dynamic price-based control of multi-agent systems -- Recursive bargaining with dynamic accumulation -- Distributed nonlinear estimation for diverse sensor devices -- Performance prediction in uncertain multi-agent systems using L1 adaptation-based distributed event-triggering -- Weight determination by manifold regularization -- Dynamic coverage and clustering: a maximum entropy approach -- Transverse linearization for underactuated nonholonomic mechanical systems with application to orbital stabilization -- A distributed NMPC scheme without stabilizing terminal constraints -- A set-theoretic method for verifying feasibility of a fast explicit nonlinear model predictive controller -- Towards parallel implementation of hybrid MPC-a survey and directions for future research -- Hierarchical model predictive control for plug-and-play resource distribution -- Hierarchical model-based control for automated baggage handling systems -- Stability with uniform bounds for on-line dial-a-ride problems under reasonable load |
| Summary |
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.> |
| Analysis |
Engineering |
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Mathematics |
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Systems theory |
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Economics, Mathematical |
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Control |
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Systems Theory, Control |
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Game Theory/Mathematical Methods |
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Game Theory, Economics, Social and Behav. Sciences |
| Bibliography |
Includes bibliographical references and indexes |
| Subject |
Control theory -- Mathematical models
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Decision making -- Data processing
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Multiagent systems -- Mathematical models
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Electronic data processing -- Distributed processing.
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Game theory.
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Ingénierie.
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Control theory -- Mathematical models
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Decision making -- Data processing
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Electronic data processing -- Distributed processing
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Game theory
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Entscheidungsfindung
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Mehragentensystem
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Verteiltes System
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| Form |
Electronic book
|
| Author |
Johansson, Rolf.
|
|
Rantzer, Anders, 1963-
|
| ISBN |
9781447122654 |
|
1447122658 |
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144712264X |
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9781447122647 |
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