Dynamics of Information Systems Theory and Applications /

"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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hirsch, Michael J. (Επιμελητής έκδοσης), Pardalos, Panos M. (Επιμελητής έκδοσης), Murphey, Robert (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2010.
Σειρά:Springer Optimization and Its Applications, 40
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.