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Dynamics of Information Systems Theory and Applications
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Dynamics of Information Systems Theory and Applications

Hirsch, Michael J.; Pardalos, Panos M.; Murphey, Robert
ISBN-10: 1441956883
ISBN-13: 9781441956880

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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.
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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
Panos M. Pardalos is one of the leading experts in global optimization and control theory. V. Yatsenko's research is connected with control of bilinear systems, nonlinear estimation, control of quantum systems, and globabl optimization problems. Both Pardalos and Yatsenko have authored numerous publications including books and well-known scientific journals.

Edition: 2010
Publisher: Springer London, Limited
Binding: Trade Cloth
Pages: 372
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.50 lbs.
Language: English

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