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Cooperative Control [electronic resource] : A Post-Workshop Volume, 2003 Block Island Workshop on Cooperative Control / edited by Vijay Kumar, Naomi Leonard, A. Stephen Morse.

Contributor(s): Kumar, Vijay [editor.] | Leonard, Naomi [editor.] | Morse, A. Stephen [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Control and Information Sciences ; 309Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005Description: XII, 291 p. 105 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540315957Subject(s): Control engineering | Vibration | Dynamical systems | Dynamics | System theory | Robotics | Mechatronics | Artificial intelligence | Automotive engineering | Control and Systems Theory | Vibration, Dynamical Systems, Control | Systems Theory, Control | Control, Robotics, Mechatronics | Artificial Intelligence | Automotive EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8 LOC classification: TJ212-225Online resources: Click here to access online
Contents:
The Geometry of Sensor Information Utilization in Nonlinear Feedback Control of Vehicle Formations -- Determining Environmental Boundaries: Asynchronous Communication and Physical Scales -- Adaptive and Distributed Coordination Algorithms for Mobile Sensing Networks -- Optimization-Based Control of Multi-Vehicle Systems -- Modeling and Analysis of Cooperative Control Systems for Uninhabited Autonomous Vehicles -- Extracting Interactive Control Algorithms from Group Dynamics of Schooling Fish -- Cooperative Control of Large Systems -- Pursuit Strategies for Autonomous Agents -- Decentralized Coordination with Local Interactions: Some New Directions -- Coordination Variables and Consensus Building in Multiple Vehicle Systems -- Collective Motion and Oscillator Synchronization -- A Study of Synchronization and Group Cooperation Using Partial Contraction Theory -- Flocking in Teams of Nonholonomic Agents -- Cooperative Control for Localization of Mobile Sensor Networks -- The Multi-Agent Rendezvous Problem.
In: Springer eBooksSummary: Are there universal principles of coordinated group motion and if so what might they be? This carefully edited book presents how natural groupings such as fish schools, bird flocks, deer herds etc. coordinate themselves and move so flawlessly, often without an apparent leader or any form of centralized control. It shows how the underlying principles of cooperative control may be used for groups of mobile autonomous agents to help enable a large group of autonomous robotic vehicles in the air, on land or sea or underwater, to collectively accomplish useful tasks such as distributed, adaptive scientific data gathering, search and rescue, or reconnaissance.
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The Geometry of Sensor Information Utilization in Nonlinear Feedback Control of Vehicle Formations -- Determining Environmental Boundaries: Asynchronous Communication and Physical Scales -- Adaptive and Distributed Coordination Algorithms for Mobile Sensing Networks -- Optimization-Based Control of Multi-Vehicle Systems -- Modeling and Analysis of Cooperative Control Systems for Uninhabited Autonomous Vehicles -- Extracting Interactive Control Algorithms from Group Dynamics of Schooling Fish -- Cooperative Control of Large Systems -- Pursuit Strategies for Autonomous Agents -- Decentralized Coordination with Local Interactions: Some New Directions -- Coordination Variables and Consensus Building in Multiple Vehicle Systems -- Collective Motion and Oscillator Synchronization -- A Study of Synchronization and Group Cooperation Using Partial Contraction Theory -- Flocking in Teams of Nonholonomic Agents -- Cooperative Control for Localization of Mobile Sensor Networks -- The Multi-Agent Rendezvous Problem.

Are there universal principles of coordinated group motion and if so what might they be? This carefully edited book presents how natural groupings such as fish schools, bird flocks, deer herds etc. coordinate themselves and move so flawlessly, often without an apparent leader or any form of centralized control. It shows how the underlying principles of cooperative control may be used for groups of mobile autonomous agents to help enable a large group of autonomous robotic vehicles in the air, on land or sea or underwater, to collectively accomplish useful tasks such as distributed, adaptive scientific data gathering, search and rescue, or reconnaissance.

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