Description
Mit Press Information-Driven Planning And Control by Silvia Ferrari And Thomas A. Wettergren
A Unified Framework For Developing Planning And Control Algorithms For Active Sensing, With Examples Of Applications For Specific Sensor Technologies. Active Sensor Systems, Increasingly Deployed In Such Applications As Unmanned Vehicles, Mobile Robots, And Environmental Monitoring, Are Characterized By A High Degree Of Autonomy, Reconfigurability, And Redundancy. This Book Is The First To Offer A Unified Framework For The Development Of Planning And Control Algorithms For Active Sensing, With Examples Of Applications For A Range Of Specific Sensor Technologies. The Methods Presented Can Be Characterized As Information-Driven Because Their Goal Is To Optimize The Value Of Information, Rather Than To Optimize Traditional Guidance And Navigation Objectives. Table Of Contents - List Of Figures Xilist Of Tables Xxiiiforeword Xxvpreface Xxviii Mathematics Of Information-Driven Planning And Control 11 Dynamic Systems 52 Optimal Control 293 Graph Theory 434 Probability Theory 535 Information Theory 916 Part I Glossaryii Sensor System Modeling 1097 Mobile Platform Models 1138 Target Models 1479 Sensor Models 16910 Models Of Environmental Variability 21911 Part Ii Glossary 231Iii Sensing Performance And Objective Functions 23512 Coverage 24113 Detection 26514 Classification 29315 Tracking And Localization 30516 Part Iii Glossary 347Iv Information-Driven Placement And Optimization 35117 Packing Algorithms 35718 Voronoi Diagrams 37119 Multi-Objective Optimization 39120 Metaheuristic Optimization 43321 Optimal Placement Of Dynamic Sensors 47722 Part Iv Glossary 489V Information-Driven Planning And Control Methods23 Sensor Trajectory Optimization 49924 Sensor Path Planning 51525 Integrated Sensor Planning And Control 57126 Part V Glossary 587References 591Contributors 623Index 625