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Complexity in UAV Cooperative Control

Complexity in UAV Cooperative Control
Author:
Publisher:
Total Pages: 9
Release: 2004
Genre:
ISBN:

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This paper addresses complexity and coupling issues in cooperative decision and control of distributed autonomous UAV teams. In particular, the recent results obtained by the in-house research team are presented. Hierarchical decomposition is implemented where team vehicles are allocated to subteams using set partition theory. Results are presented for single assignment and multiple assignment using network flow and auction algorithms. Simulation results are presented for wide area search munitions where complexity and coupling are incrementally addressed in the decision system, yielding radically improved team performance.


UAV Cooperative Decision and Control

UAV Cooperative Decision and Control
Author: Tal Shima
Publisher: SIAM
Total Pages: 179
Release: 2009-02-19
Genre: Mathematics
ISBN: 0898716640

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An authoritative reference on cooperative decision and control of unmanned aerial vehicles.


Cooperative Path Planning of Unmanned Aerial Vehicles

Cooperative Path Planning of Unmanned Aerial Vehicles
Author: Antonios Tsourdos
Publisher: John Wiley & Sons
Total Pages: 216
Release: 2010-11-09
Genre: Technology & Engineering
ISBN: 0470974648

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An invaluable addition to the literature on UAV guidance and cooperative control, Cooperative Path Planning of Unmanned Aerial Vehicles is a dedicated, practical guide to computational path planning for UAVs. One of the key issues facing future development of UAVs is path planning: it is vital that swarm UAVs/ MAVs can cooperate together in a coordinated manner, obeying a pre-planned course but able to react to their environment by communicating and cooperating. An optimized path is necessary in order to ensure a UAV completes its mission efficiently, safely, and successfully. Focussing on the path planning of multiple UAVs for simultaneous arrival on target, Cooperative Path Planning of Unmanned Aerial Vehicles also offers coverage of path planners that are applicable to land, sea, or space-borne vehicles. Cooperative Path Planning of Unmanned Aerial Vehicles is authored by leading researchers from Cranfield University and provides an authoritative resource for researchers, academics and engineers working in the area of cooperative systems, cooperative control and optimization particularly in the aerospace industry.


Cooperative Control: Models, Applications and Algorithms

Cooperative Control: Models, Applications and Algorithms
Author: Sergiy Butenko
Publisher: Springer Science & Business Media
Total Pages: 365
Release: 2013-04-17
Genre: Mathematics
ISBN: 1475737580

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During the last decades, considerable progress has been observed in all aspects regarding the study of cooperative systems including modeling of cooperative systems, resource allocation, discrete event driven dynamical control, continuous and hybrid dynamical control, and theory of the interaction of information, control, and hierarchy. Solution methods have been proposed using control and optimization approaches, emergent rule based techniques, game theoretic and team theoretic approaches. Measures of performance have been suggested that include the effects of hierarchies and information structures on solutions, performance bounds, concepts of convergence and stability, and problem complexity. These and other topics were discusses at the Second Annual Conference on Cooperative Control and Optimization in Gainesville, Florida. Refereed papers written by selected conference participants from the conference are gathered in this volume, which presents problem models, theoretical results, and algorithms for various aspects of cooperative control. Audience: The book is addressed to faculty, graduate students, and researchers in optimization and control, computer sciences and engineering.


Cooperative Control for Multiple Autonomous UAV's Searching for Targets in an Uncertain Environment

Cooperative Control for Multiple Autonomous UAV's Searching for Targets in an Uncertain Environment
Author: Matthew D. Flint
Publisher:
Total Pages:
Release: 2002
Genre:
ISBN:

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The work presented here is part of a research program being conducted in the area of decision and control for autonomous unmanned aerial vehicles (UAV2s). Speci.cally, the formulation is presented for the problem of generating near-optimal trajectories to follow in order for several UAV2s to cooperatively search for targets in a given area for which some a priori data about target distribution is available. In order to solve this problem, a discrete time decision model is created. The solution based on this model is presented, which utilizes a dynamic programming approach, implemented with a best-.rst search algorithm. This solution predicts the best path for individual vehicles to take under constraints on movement and computational power. A key reduction in computational complexity as compared to the ideal case is made by utilizing a limited look-ahead policy and by modeling other vehicles as stochastic elements. The formulation is .exible enough to respond to additional goals and restrictions, also. A set of simulation studies is provided that shows the utility of this approach. The proposed method is demonstrated against a standard search, and another method that currently exists in the literature.


Distributed Autonomous Robotic Systems

Distributed Autonomous Robotic Systems
Author: Hajime Asama
Publisher: Springer Science & Business Media
Total Pages: 392
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 4431682759

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As a new strategy to realize the goal of flexible, robust, fault-tolerant robotic systems, the distributed autonomous approach has quickly established itself as one of the fastest growing fields in robotics. This book is one of the first to devote itself solely to this exciting area of research, covering such topics as self-organization, communication and coordination, multi-robot manipulation and control, distributed system design, distributed sensing, intelligent manufacturing systems, and group behavior. The fundamental technologies and system architectures of distributed autonomous robotic systems are expounded in detail, along with the latest research findings. This book should prove indispensable not only to those involved with robotic engineering but also to those in the fields of artificial intelligence, self-organizing systems, and coordinated control.


Cooperative Control

Cooperative Control
Author: Vijay Kumar
Publisher: Springer Science & Business Media
Total Pages: 310
Release: 2004-10-20
Genre: Technology & Engineering
ISBN: 9783540228615

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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.


Recent Developments in Cooperative Control and Optimization

Recent Developments in Cooperative Control and Optimization
Author: Sergiy Butenko
Publisher: Springer Science & Business Media
Total Pages: 461
Release: 2013-12-01
Genre: Mathematics
ISBN: 1461302196

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Over the past several years, cooperative control and optimization has un questionably been established as one of the most important areas of research in the military sciences. Even so, cooperative control and optimization tran scends the military in its scope -having become quite relevant to a broad class of systems with many exciting, commercial, applications. One reason for all the excitement is that research has been so incredibly diverse -spanning many scientific and engineering disciplines. This latest volume in the Cooperative Systems book series clearly illustrates this trend towards diversity and creative thought. And no wonder, cooperative systems are among the hardest systems control science has endeavored to study, hence creative approaches to model ing, analysis, and synthesis are a must! The definition of cooperation itself is a slippery issue. As you will see in this and previous volumes, cooperation has been cast into many different roles and therefore has assumed many diverse meanings. Perhaps the most we can say which unites these disparate concepts is that cooperation (1) requires more than one entity, (2) the entities must have some dynamic behavior that influences the decision space, (3) the entities share at least one common objective, and (4) entities are able to share information about themselves and their environment. Optimization and control have long been active fields of research in engi neering.


Advances in Cooperative Control and Optimization

Advances in Cooperative Control and Optimization
Author: Michael Hirsch
Publisher: Springer Science & Business Media
Total Pages: 422
Release: 2007-09-20
Genre: Technology & Engineering
ISBN: 3540743545

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Across the globe, the past several years have seen a tremendous increase in the role of cooperative autonomous systems. The field of cooperative control and optimization has established itself as a part of many different scientific disciplines. The contents of this hugely important volume, which adds much to the debate on the subject, are culled from papers presented at the Seventh Annual International Conference on Cooperative Control and Optimization, held in Gainesville, Florida, in January 2007.


Cooperative Control of UAVs for Localization of Intermittently Emitting Mobile Targets

Cooperative Control of UAVs for Localization of Intermittently Emitting Mobile Targets
Author:
Publisher:
Total Pages: 13
Release: 2009
Genre:
ISBN:

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Compared with a single platform, cooperative autonomous unmanned aerial vehicles (UAVs) offer efficiency and robustness in performing complex tasks. Focusing on ground mobile targets that intermittently emit radio frequency signals, this paper presents a decentralized control architecture for multiple UAVs, equipped only with rudimentary sensors, to search, detect, and locate targets over large areas. The proposed architecture has in its core a decision logic which governs the state of operation for each UAV based on sensor readings and communicated data. To support the findings, extensive simulation results are presented, focusing primarily on two success measures that the UAVs seek to minimize: overall time to search for a group of targets and the final target localization error achieved. The results of the simulations have provided support for hardware flight tests.