Results 281 to 290 of about 104,624 (334)
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Non-deterministic reconfiguration of tree formations
2008 American Control Conference, 2008We consider a network of mobile agents in an initially unknown acyclic network configuration and the problem of reconfiguring them into a desired network topology and formation geometry while maintaining connectivity in an asynchronous network. We model the system and solution as an embedded graph grammar and use a method of lexicographically ordered ...
John-Michael McNew, Eric Klavins
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Hybrid control of reconfigurable robot formations
Proceedings of the 2003 American Control Conference, 2003., 2004In this paper, we present a framework to dynamically reconfigure a team of autonomous robots. Reconfiguration means that a team of vehicles is capable of reaching and maintaining a desired formation while following a prescribed trajectory. We described the dynamic reconfiguration problem as a hybrid system; that is, a coordinator assigns controllers to
R. Fierro, A.K. Das
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Spacecraft formation reconfiguration with plume avoidance
2010 IEEE Aerospace Conference, 2010In this paper we present a method for performing plume avoidance in a leader-follower spacecraft formation. By using the null-space-based behavioral method we show that the follower is able to avoid entering the plume of the leader while performing a reconfiguration maneuver.
Espen Oland +2 more
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Optimal Formation Reconfiguration Using Genetic Algorithms
2009 International Conference on Computer Modeling and Simulation, 2009Spacecraft formation flying has received an enormous amount of attention over the past few years, researcher have begun to consider the advantages of spacecraft formation compared to large, complex, single purpose spacecrafts, the use of spacecraft formation has the potential to expand functionality, distribute risk and reduce cost and also it involves
Jichao Tian, Naigang Cui, Rongjun Mu
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Optimal Reconfiguration of Formation Flying Satellites
Proceedings of the 44th IEEE Conference on Decision and Control, 2006We employ a recently developed new technique for the numerical treatment of optimal control problems for mechanical systems in order to compute optimal open loop control laws for the reconfiguration of a group of formation flying satellites. The method is based on a direct discretization of a variational formulation of the dynamical constraints.
O. Junge, S. Ober-Blobaum
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Spacecraft formation reconfiguration with collision avoidance
Automatica, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Schlanbusch, Rune +2 more
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Modeling Biofilm Formation on Dynamically Reconfigurable Composite Surfaces
Langmuir, 2018We augment the dissipative particle dynamics (DPD) simulation method to model the salient features of biofilm formation. We simulate a cell as a particle containing hundreds of DPD beads and specify p, the probability of breaking the bond between the particle and surface or between the particles.
Ya Liu, Anna C. Balazs
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Distributed Synchronous Formation Reconfiguration via Low-Thrust
2021 40th Chinese Control Conference (CCC), 2021Formation reconfiguration (FR) and formation keeping are two sub-technologies of multiple satellite formation flying. FR aims to develop a control method to transform multiple satellites from the current formation configuration to a new desired formation configuration. In this paper, the concept of synchronization is introduced into FR, requiring every
Shao Jiang +4 more
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Optimal reconfiguration of UAVs in formation flight
SICE Annual Conference 2007, 2007Reconfiguration of unmanned-aerial-vehicle (UAV) formation is one of most important step in field operation of UAV systems. Guidance law for reconfiguration of UAV is needed to satisfy requirements of optimality and constraints of short computational time. This paper describes rules of Dijkstra algorithm based on the optimal trajectories.
null Seiya Ueno, null Soon Jae Kwon
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A Multi-UAV Simulation for Formation Reconfiguration
AIAA Modeling and Simulation Technologies Conference and Exhibit, 2004This paper describes a heterogeneous multi-UAV simulation of the nonlinear, 6-DOF, rigid body dynamics involved in close formation flight. Salient features of our simulation include (i) flexibility in adding/removing UAVs to the existing group, (ii) versatility to handle any formation geometry (V-type, echelon type, etc.), (iii) adaptability to dynamic
Sriram Venkataramanan, Atilla Dogan
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