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Distributed Decision Making and Control

  • Book
  • © 2012

Overview

Editors:
  1. Rolf Johansson

    1. Department of Automatic Control, Lund University, Lund, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  2. Anders Rantzer

    1. Department of Automatic Control, Lund University, Lund, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  • Provides the reader with an up-to-date survey of the theoretical underpinnings of distributed control systems
  • Helps readers accommodate the dynamical implications of computational and communications delay in modern large-scale systems
  • Shows how the concept of route pricing can be applied to minimise network congestion

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 417)

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Table of contents (17 chapters)

  1. Front Matter

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  2. Multi-Agent Control and Game Theory

    1. Front Matter

      Pages 1-2
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    2. Primal and Dual Criteria for Robust Stability Applied to Large Scale Systems

      • Ulf T. Jönsson
      Pages 3-25

    3. Optimal Controller Synthesis for a Decentralized Two-Player Linear-Quadratic Regulator via Spectral Factorization

      • John Swigart, Sanjay Lall
      Pages 27-53

    4. Decentralized Control with Communication Bandwidth Constraints

      • Chun Zhang, Geir E. Dullerud
      Pages 55-81

    5. Monotone Games for Cognitive Radio Systems

      • Gesualdo Scutari, Daniel P. Palomar, Francisco Facchinei, Jong-Shi Pang
      Pages 83-112

    6. A Mechanism Design Approach to Dynamic Price-Based Control of Multi-Agent Systems

      • Cédric Langbort
      Pages 113-129

    7. Recursive Bargaining with Dynamic Accumulation

      • Francesca Flamini
      Pages 131-144

  3. Adaptation and Learning in Autonomous Systems

    1. Front Matter

      Pages 145-146
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    2. Distributed Nonlinear Estimation for Diverse Sensor Devices

      • Andrea Simonetto, Tamás Keviczky
      Pages 147-169

    3. Performance Prediction in Uncertain Multi-Agent Systems Using \({\mathcal L}_1\) Adaptation-Based Distributed Event-Triggering

      • Xiaofeng Wang, Naira Hovakimyan
      Pages 171-193

    4. Weight Determination by Manifold Regularization

      • Henrik Ohlsson, Lennart Ljung
      Pages 195-214

    5. Dynamic Coverage and Clustering: A Maximum Entropy Approach

      • Carolyn Beck, Srinivasa Salapaka, Puneet Sharma, Yunwen Xu
      Pages 215-243

    6. Transverse Linearization for Underactuated Nonholonomic Mechanical Systems with Application to Orbital Stabilization

      • Leonid B. Freidovich, Anton S. Shiriaev
      Pages 245-258

  4. Distributed Model Predictive Control and Supply Chains

    1. Front Matter

      Pages 259-260
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    2. A Distributed NMPC Scheme without Stabilizing Terminal Constraints

      • Lars Grüne, Karl Worthmann
      Pages 261-287

    3. A Set-Theoretic Method for Verifying Feasibility of a Fast Explicit Nonlinear Model Predictive Controller

      • Davide M. Raimondo, Stefano Riverso, Sean Summers, Colin N. Jones, John Lygeros, Manfred Morari
      Pages 289-311

    4. Towards Parallel Implementation of Hybrid MPC—A Survey and Directions for Future Research

      • Daniel Axehill, Anders Hansson
      Pages 313-338

    5. Hierarchical Model Predictive Control for Plug-and-Play Resource Distribution

      • Jan Bendtsen, Klaus Trangbaek, Jakob Stoustrup
      Pages 339-358

    6. Hierarchical Model-Based Control for Automated Baggage Handling Systems

      • Alina N. Tarău, Bart De Schutter, Hans Hellendoorn
      Pages 359-386
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Keywords

About this book

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.>

Editors and Affiliations

  • Department of Automatic Control, Lund University, Lund, Sweden

    Rolf Johansson, Anders Rantzer

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