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    Dynamics of Information Systems Theory and Applications

    ISBN-10: 1441956883
    ISBN-13: 9781441956880
    Edition: 2010
    Description: Our understanding of information and information dynamics has outgrown classical information theory. The theory does not account for the value or influence of information within the context of a system or network and does not explain how these  More...
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    List Price: $133.00
    Copyright Year: 2010
    Publisher: Springer London, Limited
    Publication Date: 4/9/2010
    Binding: Hardcover
    Pages: 372
    Size: 6.25" wide x 9.25" long x 1.00" tall
    Weight: 1.496
    Language: English

    Our understanding of information and information dynamics has outgrown classical information theory. The theory does not account for the value or influence of information within the context of a system or network and does not explain how these properties might influence how information flows though and interacts with a system. The invited chapters in this collection present new theories, methods, and applications that address some of these limitations."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.These newly developed techniques have numerous applications including: the detection of terrorist networks, the design of highly functioning businesses and computer systems, modeling the distributed sensory and control physiology of animals, quantum entanglement and genome modeling, multi-robotic systems design, as well as industrial and manufacturing safety.This volume is intended for graduate students and researchers interested in the most recent developments in information theory and dynamical systems, as well as applied scientists interested in the application of these principles to their own area of study.

    Preface
    The Role of Dynamics in Extracting Information Sparsely Encoded in High Dimensional Data Streams
    Introduction
    Key Subproblems Arising in the Context of Dynamic Information Extraction
    Nonlinear Embedding of Dynamic Data
    Structure Extraction from High Dimensional Data Streams
    Robust Dynamic Data Segmentation
    Example 1: Video Segmentation
    Example 2: Segmentation of Dynamic Textures
    Constrained Interpolation of High Dimensional Signals
    Hypothesis Testing and Data Sharing
    Conclusions
    References
    Information Trajectory of Optimal Learning
    Introduction
    Topology and Geometry of Learning Systems
    Problem Statement and Basic Concepts
    Asymmetric Topologies and Gauge Functions
    Trajectories Continuous in Information
    Optimal Evolution and Bounds
    Empirical Evaluation on Learning Agents
    Conclusion
    References
    Performance-Information Analysis and Distributed Feedback Stabilization in Large-Scale Interconnected Systems
    Introduction
    Problem Formulation
    Performance-Information Analysis
    Problem Statements
    Distributed Risk-Averse Feedback Stabilization
    Conclusions
    References
    A General Approach for Modules Identification in Evolving Networks
    Introduction
    Preliminaries and Problem Definition
    Preliminaries
    Problem Definition
    Compact Representation of a Network
    Structure Preservation
    Size of the Compact Representation
    Partition Based on Evolution History
    Algorithm
    Complexity
    Experimental Evaluation
    Conclusions
    References
    Topology Information Control in Feedback Based Reconfiguration Processes
    Introduction and Motivation
    Group Communication Networking
    Reconfiguration Process Optimization
    Topology Information Model
    Information Control Problem
    Topology Information Control
    Lagrangian Solution
    Distributed Implementation
    Summary of Computational Results
    Concluding Remarks
    References
    Effect of Network Geometry and Interference on Consensus in Wireless Networks
    Introduction
    Problem Formulation
    Analysis of a Ring and a 2D Torus
    The 1-D Case: Nodes on a Ring
    Nodes on a Two-Dimensional Torus
    Hierarchical Networks
    Conclusions
    References
    Analyzing the Theoretical Performance of Information Sharing
    Introduction
    Information Sharing
    Token Algorithms
    Experimental Results
    Optimality of the Lookahead Policy
    Optimality of the Random Policies
    Effects of Noisy Estimation
    Properties Affecting Optimality
    Scaling Network Size
    Related Work
    Conclusions and Future Work
    References
    Self-Organized Criticality of Belief Propagation in Large Heterogeneous Teams
    Introduction
    Self-Organized Criticality
    Belief Sharing Model
    System Operation Regimes
    Simulation Results
    Related Work
    Conclusions and Future Work
    References
    Effect of Humans on Belief Propagation in Large Heterogeneous Teams
    Introduction
    Self-Organized Critical Systems
    The Enabler-Impeder Effect
    Model of Information Dissemination in a Network
    Simulation Results
    Related Work
    Conclusion and Future Work
    References
    Integration of Signals in Complex Biophysical Systems
    Introduction
    Methods for Analysis of Phase Synchronization
    Instantaneous Phase
    Phase Synchronization
    Generalized Phase Synchronization
    Analysis of the Data Collected During Sensory-Motor Experiments
    Sensory-Motor Experiments and Neural Data Acquisition
    Computational Analysis of the LFP Data
    Conclusion
    References
    An Info-Centric Trajectory Planner for Unmanned Ground Vehicles
    Introduction
    Problem Formulation and Background
    Obstacle Motion Studies
    The Sliding Door
    The Cyclic Sliding Door
    Obstacle Crossing (No Intercept)
    Obstacle Intercept
    Obstacle Intercept Window
    Target Motion Studies
    Target Rendezvous: Vehicle Faster than Target
    Target Rendezvous: Vehicle Slower than Target
    Target Rendezvous: Variable Target Motion
    Conclusion
    References
    Orbital Evasive Target Tracking and Sensor Management
    Introduction
    Fundamentals of Space Target Orbits
    Time and Coordinate Systems
    Orbital Equation and Orbital Parameter Estimation
    Modeling Maneuvering Target Motion in Space Target Tracking
    Sensor Measurement Model
    Game Theoretic Formulation for Target Maneuvering Onset Time
    Nonlinear Filter Design for Space Target Tracking
    Posterior Cramer-Rao Lower Bound of the State Estimation Error
    Sensor Management for Situation Awareness
    Information Theoretic Measure for Sensor Assignment
    Covariance Control for Sensor Scheduling
    Game Theoretic Covariance Prediction for Sensor Management
    Simulation Study
    Scenario Description
    Performance Comparison
    Summary and Conclusions
    References
    Decentralized Cooperative Control of Autonomous Surface Vehicles
    Introduction
    Motivation
    Decentralized Hierarchical Supervisor
    Persistent ISR Task
    Transit
    Simulation Results
    Conclusion and Future Work
    References
    A Connectivity Reduction Strategy for Multi-agent Systems
    Introduction
    Background
    Model
    Edge Robustness
    A Distributed Scheme of Graph Reduction
    Redundant Edges and Triangle Closures
    Local Triangle Topologies
    Distributed Algorithm
    Discussion and Simulation
    Conclusion
    References
    The Navigation Potential of Ground Feature Tracking
    Introduction
    Modeling
    Special Cases
    Nondimensional Variables
    Observability
    Only the Elevation z<sub>p</sub> of the Tracked Ground Object is Known
    Partial Observability
    Conclusion
    References
    Minimal Switching Time of Agent Formations with Collision Avoidance
    Introduction
    Problem Definition
    Dynamic Programming Formulation
    Derivation of the Dynamic Programming Recursion
    Collision Avoidance
    Computational Implementation
    Computational Experiments
    Conclusion
    References
    A Moving Horizon Estimator Performance Bound
    Introduction
    Linear State Estimation
    Kalman Filter as an IIR Filter
    Moving Average Implementation
    MHE Performance Bound
    Situation When A - K H A &#8805; 1
    Alternative Derivation
    Simulation and Analysis
    Simulation of Moving Horizon Estimator and Error Bound
    Monte Carlo Analysis of Error Bound
    Future Work
    References
    A p-norm Discrimination Model for Two Linearly Inseparable Sets
    Introduction
    The p-norm Linear Separation Model
    Implementation of p-order Conic Programming Problems via Polyhedral Approximations
    Polyhedral Approximations of p-order Cones
    "Tower-of-Variables" (Ben-Tal and Nemirovski [4])
    Polyhedral Approximations of 3-dimensional p-order Cones
    Case Study
    Conclusions
    References
    Local Neighborhoods for the Multidimensional Assignment Problem
    Introduction
    Neighborhoods
    Intrapermutation Exchanges
    Interpermutation Exchanges
    Extensions
    Variable Depth Interchange
    Path Relinking
    Variable Neighborhood
    Discussion
    References

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