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Guidance Of 3d Underwater Non-Holonomic Vehicle Via Projection On Holonomic Solutions

by Symposium On Underwater, M. Aicardi, G. Cannata, G. Casalino, G. Indiveri - in Symposium on Underwater Robotic Technology SURT 2000, World Automation Congress WAC 2000, Maui , 2000
"... The feedback control of a nonholonomic 3D floating vehicle is considered: namely the control objective is to drive a vehicle moving in 3D space to a given point and heading along a given line having as control inputs a 1D linear velocity (surge velocity) and a 2D angular one allowing the vehicle to ..."
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The feedback control of a nonholonomic 3D floating vehicle is considered: namely the control objective is to drive a vehicle moving in 3D space to a given point and heading along a given line having as control inputs a 1D linear velocity (surge velocity) and a 2D angular one allowing the vehicle

Passive decomposition and control of nonholonomic mechanical systems

by Dongjun Lee - IEEE Trans. on Robo.. Accepted
"... Abstract—We propose nonholonomic passive decomposition, which enables us to decompose the Lagrange–D’Alembert dynamics of multiple (or a single) nonholonomic mechanical systems with a formation-specifying (holonomic) map h into 1) shape system, describing the dynamics of h(q) (i.e., formation aspect ..."
Abstract - Cited by 9 (6 self) - Add to MetaCart
the locked and shape systems individually, we can drive the formation and maneuver aspects simultaneously and separately. Notions of formation/maneuver decoupled controllability are introduced to address limitations imposed by the nonholonomic constraint, along with passivity-based formation/maneuver control

Externally Excited Coordination of Autonomous Formations

by Iman Shames, Changbin Yu, Barış Fidan, Brian D. O. Anderson
"... Abstract — Inspired by the recent “Robot Sheepdog Project ” in the literature, in this paper a new method for coordination of multi-agent systems moving in a 2dimensional region with the obstacles along a collision free trajectory is presented. A two level decentralized control scheme is proposed. A ..."
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Abstract — Inspired by the recent “Robot Sheepdog Project ” in the literature, in this paper a new method for coordination of multi-agent systems moving in a 2dimensional region with the obstacles along a collision free trajectory is presented. A two level decentralized control scheme is proposed

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract - Cited by 122 (0 self) - Add to MetaCart
on other humans to impose their will on others, by the use, potential or actual, of symbolic or physical violence. Institutions of society are built to enforce power relationships existing in each historical period, including the controls, limits, and social contracts, achieved in the power struggles. More

Team-triggered coordination of networked systems,”

by Cameron Nowzari , Jorge Cortés - in American Control Conference, , 2013
"... Abstract-This paper proposes an approach for improved methods of performing event-and self-triggered communication and control on networked systems. Current self-triggered strategies are known to be quite conservative whereas event-triggered approaches are costly to implement on distributed systems ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
systems that rely on wireless communication for information transmission. To overcome these limitations, we propose a novel class of teamtriggered coordination laws that combine ideas from event-and self-triggered control, are implementable on networked systems, and maintain desired levels of performance

Contraction Control of a Fleet Circular Formation of AUVs under Limited Communication Range

by Lara Briñón Arranz , Alexandre Seuret , Carlos Canudas De Wit - In Proc. of the 2010 American Control Conference , 2010
"... Abstract-This work proposes a novel control algorithm dedicated to multi-agent systems with nonlinear dynamics. The aim of this paper is for the agents to form a circular formation whose center is fixed and whose radius is given by a time-varying reference. The problem of uniform distribution of al ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
of all the agents along the circle is also addressed under the assumption of limited communication range. This communication constraint is tackled by using a cooperative control scheme which includes the Laplacian matrix of the communication graph (distance-dependent). The multi-agent system is simulated

6-DOF Nonlinear Simulation of Vision-based Formation Flight,” AIAA guidance, navigation, and control conference

by Ra Sattigeri, Anthony J. Calise, Byoung Soo Kim, Konstantin Volyanskyy, Nakwan Kim , 2005
"... This paper presents an adaptive guidance and control law algorithm for implementation on a pair of Unmanned Aerial Vehicles (UAVs) in a 6 DOF leader-follower formation flight simulation. The objective of the simulation study is to prepare for a flight test involving a pair of UAVs in formation fligh ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
This paper presents an adaptive guidance and control law algorithm for implementation on a pair of Unmanned Aerial Vehicles (UAVs) in a 6 DOF leader-follower formation flight simulation. The objective of the simulation study is to prepare for a flight test involving a pair of UAVs in formation

An intelligent approach to coordinated control of multiple unmanned aerial vehicles

by George Vachtsevanos, Liang Tang, Johan Reimann - In Presented at the American Helicopter Society 60th Annual Forum , 2004
"... This paper introduces a novel architecture for the coordinated control of multiple Unmanned Aerial Vehicles (UAVs) and a differential game theoretical approach to formation control and collision avoidance. The hierarchical architecture features an upper level with global situation awareness and team ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
This paper introduces a novel architecture for the coordinated control of multiple Unmanned Aerial Vehicles (UAVs) and a differential game theoretical approach to formation control and collision avoidance. The hierarchical architecture features an upper level with global situation awareness

COORDINATED PATH-FOLLOWING IN THE PRESENCE OF COMMUNICATION LOSSES AND TIME DELAYS ∗

by R. Ghabcheloo, A. P. Aguiar, A. Pascoal, C. Silvestre, I. Kaminer, J. Hespanha
"... Abstract. This paper addresses the problem of steering a group of vehicles along given paths while holding a desired formation pattern. The solution to this problem, henceforth referred to as the Coordinated Path-Following problem, unfolds in two basic steps. First, a path-following control law is u ..."
Abstract - Cited by 20 (9 self) - Add to MetaCart
Abstract. This paper addresses the problem of steering a group of vehicles along given paths while holding a desired formation pattern. The solution to this problem, henceforth referred to as the Coordinated Path-Following problem, unfolds in two basic steps. First, a path-following control law

Decentralized Coordinated Motion Control of Two Hydraulic Actuators Handling a Common Object

by Mark Karpenko, Nariman Sepehri, John Anderson
"... In this paper, reinforcement learning is applied to coordinate, in a decentralized fashion, the motions of a pair of hydraulic actuators whose task is to firmly hold and move an object along a specified trajectory under conventional position control. The learning goal is to reduce the interaction fo ..."
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In this paper, reinforcement learning is applied to coordinate, in a decentralized fashion, the motions of a pair of hydraulic actuators whose task is to firmly hold and move an object along a specified trajectory under conventional position control. The learning goal is to reduce the interaction
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