The Control of Multiple Unmanned Aerial Vehicles: Synthesis, Functionalization to Applications provides readers with a unified framework to address the challenges of multi-UAV target encirclement tracking control. This is achieved by comprehensively integrating the concepts of dynamic modelling, state and disturbance estimation, guidance law design, distributed control, obstacle avoidance and reinforcement learning-based formation tracking control with multi-UAV encirclement tracking systems. The book provides practical insight and solutions to the challenges of multi-UAV use, including limited sensing, communication constraint, wind disturbances and obstacle and collision avoidance, enabling readers to effectively apply the concepts to their work or research. Cutting-edge control techniques and advanced theories are explored, including robust distributed control, adaptive neural network approximation, reinforcement learning and multi-agent systems, presenting readers with state-of-the-art methodologies from which to develop practical applications of UAV formation. Each guidance and control method presented in the book is accompanied by a thorough comprehensive analysis to ensure that each is theoretically grounded. The book ensures transparency by providing open-access simulation codes, allowing readers to easily access and reproduce presented results.
1. Chapter 1: Introduction - p. 1 2. Chapter 2: UAV modeling - p. 21 3. Chapter 3: Distributed control of target cooperative encirclement and tracking using range-based measurements - p. 29 4. Chapter 4: Target localization and encirclement control for multi-UAVs with limited information - p. 55 5. Chapter 5: Distributed robust formation tracking control for multi-UAV systems - p. 73 6. Chapter 6: Finite-time encirclement control of moving target tracking for UAV formation - p. 95 7. Chapter 7: Fixed-time encirclement control of moving target tracking for UAV formation - p. 135 8. Chapter 8: Predefined-time control for multitargets encirclement and tracking for UAV formation - p. 191 9. Chapter 9: Optimal formation tracking control based on reinforcement learning for multi-UAV systems - p. 249 10. Chapter 10: Conclusions and future directions - p. 271 11. Index - p. 275
The Control of Multiple Unmanned Aerial Vehicles: Synthesis, Functionalization to Applications provides readers with a unified framework to address the challenges of multi-UAV target encirclement tracking control. This is achieved by comprehensively integrating the concepts of dynamic modelling, state and disturbance estimation, guidance law design, distributed control, obstacle avoidance and reinforcement learning-based formation tracking control with multi-UAV encirclement tracking systems. The book provides practical insight and solutions to the challenges of multi-UAV use, including limited sensing, communication constraint, wind disturbances and obstacle and collision avoidance, enabling readers to effectively apply the concepts to their work or research. Cutting-edge control techniques and advanced theories are explored, including robust distributed control, adaptive neural network approximation, reinforcement learning and multi-agent systems, presenting readers with state-of-the-art methodologies from which to develop practical applications of UAV formation. Each guidance and control method presented in the book is accompanied by a thorough comprehensive analysis to ensure that each is theoretically grounded. The book ensures transparency by providing open-access simulation codes, allowing readers to easily access and reproduce presented results.
1. Chapter 1: Introduction - p. 1 2. Chapter 2: UAV modeling - p. 21 3. Chapter 3: Distributed control of target cooperative encirclement and tracking using range-based measurements - p. 29 4. Chapter 4: Target localization and encirclement control for multi-UAVs with limited information - p. 55 5. Chapter 5: Distributed robust formation tracking control for multi-UAV systems - p. 73 6. Chapter 6: Finite-time encirclement control of moving target tracking for UAV formation - p. 95 7. Chapter 7: Fixed-time encirclement control of moving target tracking for UAV formation - p. 135 8. Chapter 8: Predefined-time control for multitargets encirclement and tracking for UAV formation - p. 191 9. Chapter 9: Optimal formation tracking control based on reinforcement learning for multi-UAV systems - p. 249 10. Chapter 10: Conclusions and future directions - p. 271 11. Index - p. 275
