Distributed Decision Making and Control

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

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.>

• Autonomous Systems
• Control Theory
• Decision Theory
• Distributed Control
• Game Theory
• Large-scale Systems
• Multi-agent Systems

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

  Rolf Johansson, Anders Rantzer

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