Cooperative systems are pervasive in a multitude of environments and at all levels. We find them at the microscopic biological level up to complex ecological structures. They are found in single organisms and they exist in large sociological organizations. Cooperative systems can be found in machine applications and in situations involving man and machine working together.

They have some common elements: 1) more than one entity, 2) the entities have behaviors that influence the decision space, 3) entities share at least one common objective, and 4) entities share information whether actively or passively.

Because of the clearly important role cooperative systems play in areas such as military sciences, biology, communications, robotics, and economics, just to name a few, the study of cooperative systems has intensified. This book provides an insight in the basic understanding of cooperative systems as well as in theory, modeling, and applications of cooperative control, optimization and related problems.

Includes supplementary material: sn.pub/extras

Klappentext

Because of the clearly important role cooperative systems play in areas such as military sciences, biology, communications, robotics, and economics, just to name a few, the study of cooperative systems has intensified. This book provides an insight in the basic understanding of cooperative systems as well as in theory, modeling, and applications of cooperative control, optimization and related problems.

Inhalt
Optimally Greedy Control of Team Dispatching Systems.- Heuristics for Designing the Control of a UAV Fleet With Model Checking.- Unmanned Helicopter Formation Flight Experiment for the Study of Mesh Stability.- Cooperative Estimation Algorithms Using TDOA Measurements.- A Comparative Study of Target Localization Methods for Large GDOP.- Leaderless Cooperative Formation Control of Autonomous Mobile Robots Under Limited Communication Range Constraints.- Alternative Control Methodologies for Patrolling Assets With Unmanned Air Vehicles.- A Grammatical Approach to Cooperative Control.- A Distributed System for Collaboration and Control of UAV Groups: Experiments and Analysis.- Consensus Variable Approach to Decentralized Adaptive Scheduling.- A Markov Chain Approach to Analysis of Cooperation in Multi-Agent Search Missions.- A Markov Analysis of the Cueing Capability/Detection Rate Trade-space in Search and Rescue.- Challenges in Building Very Large Teams.- Model Predictive Path-Space Iteration for Multi-Robot Coordination.- Path Planning for a Collection of Vehicles With Yaw Rate Constraints.- Estimating the Probability Distributions of Alloy Impact Toughness: a Constrained Quantile Regression Approach.- A One-Pass Heuristic for Cooperative Communication in Mobile Ad Hoc Networks.- Mathematical Modeling and Optimization of Superconducting Sensors with Magnetic Levitation.- Stochastic Optimization and Worst-case Decisions.- Decentralized Estimation for Cooperative Phantom Track Generation.- Information Flow Requirements for the Stability of Motion of Vehicles in a Rigid Formation.- Formation Control of Nonholonomic Mobile Robots Using Graph Theoretical Methods.- Comparison of Cooperative Search Algorithms for Mobile RF Targets Using Multiple Unmanned Aerial Vehicles.