Dynamics of information systems : theory and applications
著者
書誌事項
Dynamics of information systems : theory and applications
（Springer optimization and its applications, v. 40）
Springer, c2010
- hbk.
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注記
Includes bibliographical references
内容説明・目次
内容説明
"Dynamics of Information Systems" presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research.
This volume is intended for graduate students and researchers interested in the most recent developments in information theory and dynamical systems, as well as scientists in other fields interested in the application of these principles to their own area of study.
目次
The Role of Dynamics in Extracting Information Sparsely Encoded in High Dimensional Data Streams.- Information Trajectory of Optimal Learning.- Performance-Information Analysis and Distributed Feedback Stabilization in Large-Scale Interconnected Systems.- A General Approach for Modules Identification in Evolving Networks.- Topology Information Control in Feedback Based Reconfiguration Processes.- Effect of Network Geometry and Interference on Consensus in Wireless Networks.- Analyzing the Theoretical Performance of Information Sharing.- Self-Organized Criticality of Belief Propagation in Large Heterogeneous Teams.- Effect of Humans on Belief Propagation in Large Heterogeneous Teams.- Integration of Signals in Complex Biophysical Systems.- An Info-Centric Trajectory Planner for Unmanned Ground Vehicles.- Orbital Evasive Target Tracking and Sensor Management.- Decentralized Cooperative Control of Autonomous Surface Vehicles.- A Connectivity Reduction Strategy for Multi-agent Systems.- The Navigation Potential of Ground Feature Tracking.- Minimal Switching Time of Agent Formations with Collision Avoidance.- A Moving Horizon Estimator Performance Bound.- A p-norm Discrimination Model for Two Linearly Inseparable Sets.- Local Neighborhoods for the Multidimensional Assignment Problem.
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