Dynamics of Information Systems Theory and Applications

Dynamics of Information Systems Theory and Applications / edited by Michael Hirsch, Panos M. Pardalos, Robert Murphey.

"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 cha...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hirsch, Michael (Editor), Pardalos, Panos M. (Editor), Murphey, Robert (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Springer Optimization and Its Applications, 40
Springer eBook Collection.
Subjects:
Mathematical models.
Computer organization.
Coding theory.
Information theory.
Operations research.
Management science.
System theory.
Decision making.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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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