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.