Johansson R., Rantzer A. (eds.) Distributed Decision Making and Control

London: Springer, 2012. — 437 p.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.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 AccumulationDistributed Nonlinear Estimation for Diverse Sensor Devices
Performance Prediction in Uncertain Multi-Agent Systems Using ${\mathcal L}_1$ 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 StabilizationA 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