Ebook: Cooperative Systems: Control and Optimization
- Tags: Operations Research/Decision Theory, Calculus of Variations and Optimal Control, Optimization, Operations Research Mathematical Programming, Engineering general
- Series: Lecture Notes in Economics and Mathematical Systems 588
- Year: 2007
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages I-IX
Optimally Greedy Control of Team Dispatching Systems....Pages 1-19
Heuristics for Designing the Control of a UAV Fleet With Model Checking....Pages 21-36
Unmanned Helicopter Formation Flight Experiment for the Study of Mesh Stability....Pages 37-56
Cooperative Estimation Algorithms Using TDOA Measurements....Pages 57-66
A Comparative Study of Target Localization Methods for Large GDOP....Pages 67-78
Leaderless Cooperative Formation Control of Autonomous Mobile Robots Under Limited Communication Range Constraints....Pages 79-104
Alternative Control Methodologies for Patrolling Assets With Unmanned Air Vehicles....Pages 105-115
A Grammatical Approach to Cooperative Control....Pages 117-138
A Distributed System for Collaboration and Control of UAV Groups: Experiments and Analysis....Pages 139-156
Consensus Variable Approach to Decentralized Adaptive Scheduling....Pages 157-169
A Markov Chain Approach to Analysis of Cooperation in Multi-Agent Search Missions....Pages 171-184
A Markov Analysis of the Cueing Capability/Detection Rate Trade-space in Search and Rescue....Pages 185-196
Challenges in Building Very Large Teams....Pages 197-228
Model Predictive Path-Space Iteration for Multi-Robot Coordination....Pages 229-253
Path Planning for a Collection of Vehicles With Yaw Rate Constraints....Pages 255-268
Estimating the Probability Distributions of Alloy Impact Toughness: a Constrained Quantile Regression Approach....Pages 269-283
A One-Pass Heuristic for Cooperative Communication in Mobile Ad Hoc Networks....Pages 285-296
Mathematical Modeling and Optimization of Superconducting Sensors with Magnetic Levitation....Pages 297-316
Stochastic Optimization and Worst-case Decisions....Pages 317-338
Decentralized Estimation for Cooperative Phantom Track Generation....Pages 339-350
Information Flow Requirements for the Stability of Motion of Vehicles in a Rigid Formation....Pages 351-367
Formation Control of Nonholonomic Mobile Robots Using Graph Theoretical Methods....Pages 369-386
Comparison of Cooperative Search Algorithms for Mobile RF Targets Using Multiple Unmanned Aerial Vehicles....Pages 387-403
Back Matter....Pages 404-405
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.
Content:
Front Matter....Pages I-IX
Optimally Greedy Control of Team Dispatching Systems....Pages 1-19
Heuristics for Designing the Control of a UAV Fleet With Model Checking....Pages 21-36
Unmanned Helicopter Formation Flight Experiment for the Study of Mesh Stability....Pages 37-56
Cooperative Estimation Algorithms Using TDOA Measurements....Pages 57-66
A Comparative Study of Target Localization Methods for Large GDOP....Pages 67-78
Leaderless Cooperative Formation Control of Autonomous Mobile Robots Under Limited Communication Range Constraints....Pages 79-104
Alternative Control Methodologies for Patrolling Assets With Unmanned Air Vehicles....Pages 105-115
A Grammatical Approach to Cooperative Control....Pages 117-138
A Distributed System for Collaboration and Control of UAV Groups: Experiments and Analysis....Pages 139-156
Consensus Variable Approach to Decentralized Adaptive Scheduling....Pages 157-169
A Markov Chain Approach to Analysis of Cooperation in Multi-Agent Search Missions....Pages 171-184
A Markov Analysis of the Cueing Capability/Detection Rate Trade-space in Search and Rescue....Pages 185-196
Challenges in Building Very Large Teams....Pages 197-228
Model Predictive Path-Space Iteration for Multi-Robot Coordination....Pages 229-253
Path Planning for a Collection of Vehicles With Yaw Rate Constraints....Pages 255-268
Estimating the Probability Distributions of Alloy Impact Toughness: a Constrained Quantile Regression Approach....Pages 269-283
A One-Pass Heuristic for Cooperative Communication in Mobile Ad Hoc Networks....Pages 285-296
Mathematical Modeling and Optimization of Superconducting Sensors with Magnetic Levitation....Pages 297-316
Stochastic Optimization and Worst-case Decisions....Pages 317-338
Decentralized Estimation for Cooperative Phantom Track Generation....Pages 339-350
Information Flow Requirements for the Stability of Motion of Vehicles in a Rigid Formation....Pages 351-367
Formation Control of Nonholonomic Mobile Robots Using Graph Theoretical Methods....Pages 369-386
Comparison of Cooperative Search Algorithms for Mobile RF Targets Using Multiple Unmanned Aerial Vehicles....Pages 387-403
Back Matter....Pages 404-405
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