TY - GEN
T1 - Evolution of multi agent systems under a new communication topology
AU - Rastgoftar, Hossein
AU - Jayasuriya, Suhada
N1 - Publisher Copyright:
© 2014 by ASME.
PY - 2014
Y1 - 2014
N2 - In this paper, a multi agent system (MAS) is considered as particles of a continuum deforming under a specific class of homeomorphic mappings, called a homogenous transformation. We have recently showed how a desired homogenous mapping of the MAS in a n - D space can be prescribed by transient positions of n + 1 leaders placed at the vertices of a n - D polytope, called leading polytope [1-9]. In this article, we first minimize the acceleration norm with (i) initial and final positions of the leaders known and (ii) leaders (located at the vertices of the leading polytope) are constrained to move in such a way that the initial volume of the leading polytope is preserved during evolution. The followers learn the leaderdetermined homogenous map through local communication with each follower modeled as a double integrator. Proposed is a communication topology that requires every follower agent to update its position based on communication with n + 1 local agents. The weights of communication are uniquely specified by the initial positions of the agents. Simulation of a MAS moving in a plane validates the proposed communication topology.
AB - In this paper, a multi agent system (MAS) is considered as particles of a continuum deforming under a specific class of homeomorphic mappings, called a homogenous transformation. We have recently showed how a desired homogenous mapping of the MAS in a n - D space can be prescribed by transient positions of n + 1 leaders placed at the vertices of a n - D polytope, called leading polytope [1-9]. In this article, we first minimize the acceleration norm with (i) initial and final positions of the leaders known and (ii) leaders (located at the vertices of the leading polytope) are constrained to move in such a way that the initial volume of the leading polytope is preserved during evolution. The followers learn the leaderdetermined homogenous map through local communication with each follower modeled as a double integrator. Proposed is a communication topology that requires every follower agent to update its position based on communication with n + 1 local agents. The weights of communication are uniquely specified by the initial positions of the agents. Simulation of a MAS moving in a plane validates the proposed communication topology.
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U2 - 10.1115/DSCC2014-6140
DO - 10.1115/DSCC2014-6140
M3 - Conference contribution
AN - SCOPUS:84929233875
T3 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
BT - Industrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy
PB - American Society of Mechanical Engineers
T2 - ASME 2014 Dynamic Systems and Control Conference, DSCC 2014
Y2 - 22 October 2014 through 24 October 2014
ER -