Includes bibliographical references and index.

Online resource; title from PDF title page (John Wiley, viewed March 28, 2017).

Machine generated contents note: 1.Introduction / Fumin Zhang -- 1.1.Introduction -- 1.2.Chapter Summary and Contributions -- References -- 2.Sensor Placement Algorithms for a Path Covering Problem / Rajnikant Sharma -- 2.1.Problem Statement -- 2.2.Algorithm Approx1 -- 2.2.1.Algorithm for Targets That Lie Within a Strip -- 2.2.2.Algorithm for a General Set of Points -- 2.2.3.Proof of the Approximation Ratio -- 2.3.Algorithm Approx2 -- 2.4.Numerical Results -- 2.5.Conclusions -- References -- 3.Robust Coordination of Small UAVs for Vision-Based Target Tracking Using Output-Feedback MPC with MHE / Joao P. Hespanha -- 3.1.Vision-Based Target Tracking -- 3.2.Problem Formulation -- 3.2.1.UAV Dynamics -- 3.2.2.Target Dynamics and Overall State Space -- 3.2.3.Measurement Error Models -- 3.3.Robust Output-Feedback MPC/MHE -- 3.4.Simulation Results -- 3.4.1.Constant-Velocity Target -- 3.4.2.Evasive Target -- 3.4.3.Experimental Target Log -- 3.5.Conclusion and Future Work -- References -- 4.Projection-Based Consensus for Time-Critical Coordination of Unmanned Aerial Vehicles under Velocity Constraints / David Casbeer -- 4.1.Introduction -- 4.2.Problem Statement -- 4.2.1.Notations -- 4.2.2.Problem Formulation -- 4.3.Projection-Based Consensus Algorithm -- 4.4.Convergence Analysis -- 4.5.Convergence Time -- 4.6.Feasibility -- 4.7.Simulation -- 4.8.Summary -- References -- 5.Greedy Maximization for Asset-Based Weapon-Target Assignment with Time-Dependent Rewards / Han-Lim Choi -- 5.1.Introduction -- 5.2.Problem Formulation -- 5.2.1.Problem Variables -- 5.2.2.Constraints -- 5.2.3.Objective Function -- 5.3.Properties of the Objective Function -- 5.3.1.Preliminary -- Greedy Algorithm -- 5.3.2.Preliminary -- Maximization of Set Function -- 5.3.3.Weapon Target Assignment -- Lower Bound with Greedy Algorithm -- 5.4.Algorithmic Details -- 5.4.1.Time Slot Generation -- 5.4.2.Greedy Maximization -- 5.5.Numerical Case Studies -- 5.5.1.Simple TSWTA Example -- 5.5.2.Realistic Interceptor-Ballistic Target Assignment -- 5.6.Conclusion -- Acknowledgment -- References -- 6.Coordinated Threat Assignments and Mission Management of Unmanned Aerial Vehicles / David Casbeer -- 6.1.Introduction -- 6.2.Problem Statement -- 6.2.1.Preliminaries -- 6.2.2.Mission Description -- 6.3.Decentralized Assignment of Threats -- 6.3.1.Optimal Individual Paths and Selections -- 6.3.2.Decentralized Assignment Algorithm -- 6.4.Assignment Constraints -- 6.4.1.Timing Constraints -- 6.4.2.Coupled Decision Making -- 6.5.Multiple Main Targets -- 6.6.Conclusions -- References -- 7.Event-Triggered Communication and Control for Multi-Agent Average Consensus / George J. Pappas -- 7.1.Introduction -- 7.1.1.Organization -- 7.2.Preliminaries -- 7.2.1.Event-Triggered Control of Linear Systems -- 7.3.Problem Statement -- 7.4.Centralized Event-Triggered Control -- 7.5.Decentralized Event-Triggered Control -- 7.6.Decentralized Event-Triggered Communication and Control -- 7.6.1.Directed Graphs -- 7.7.Periodic Event-Triggered Coordination -- 7.8.Conclusions and Future Outlook -- References -- Appendix -- 8.Topology Design and Identification for Dynamic Networks / Ran Dai -- 8.1.Introduction -- 8.2.Network Topology Design Problems -- 8.2.1.Network Design for Fast Convergence of Consensus Protocol -- 8.2.2.Network Design for Minimum Total Effective Resistance -- 8.2.3.Equivalent Conversion from Cardinality-Constrained Optimization Problems to RCOPs -- 8.3.Network Topology Identification Problems -- 8.3.1.LTI System Identification -- 8.3.2.Formulation of NTIs as QCQPs -- 8.3.3.Equivalent Conversion from QCQPs to RCOPs -- 8.4.Iterative Rank Minimization Approach -- 8.5.Simulation Examples -- 8.5.1.Example for Designing Fast Converging Consensus-based Network -- 8.5.2.Example for Designing Minimum Total Effective Resistance Network -- 8.5.3.Example of NTI with Agent Dynamics Driven by Consensus Protocol -- 8.6.Conclusions -- References -- 9.Distributed Multi-Agent Coordination with Uncertain Interactions: A Probabilistic Perspective / Corey Schumacher -- 9.1.Introduction -- 9.2.Preliminaries -- 9.2.1.Graph Theory Notions -- 9.2.2.Problem Statement -- 9.3.Fixed Interaction Graph -- 9.3.1.Equal Possibility -- 9.3.2.Unequal Possibility -- 9.4.Switching Interaction Graph -- 9.5.Conclusion -- References -- 10.Awareness Coverage Control in Unknown Environments Using Heterogeneous Multi-Robot Systems / Li Wang -- 10.1.Introduction -- 10.2.Problem Formulation -- 10.2.1.Robot Models -- 10.2.2.Sensor Models -- 10.2.3.Communication Strategies -- 10.2.4.State of Awareness Dynamics -- 10.3.Cooperative Control of Heterogeneous Multi-Robot Systems -- 10.3.1.Motion Control for Boundary-Tracking UAVs -- 10.3.2.Awareness Coverage Control for Coverage Robots -- 10.3.2.1.Awareness Metric -- 10.3.2.2.Domain Coverage Algorithm -- 10.4.Simulation Results -- 10.5.Conclusion -- References.