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NASA NTRS · 20220000795

Dynamic Stability And Adaptive Control of Networked Evolving Formations with Weak Nonlinearities

Abstract

The dynamic stability of formation geometry is vital to the design of large scale multiagent systems. In this paper, we probe into the structure of the formation system matrix using the Laplacian of a digraph to develop several fundamental theoretical results on the stability of formation geometry. Our key-results include the integration of the graph Laplacian into linear and weak-nonlinear relative dynamics, the development of several new coordinate transformations that expose the influence of the graph Laplacian matrix on the control laws of the agents, and the use of direct adaptive control as stability restoring devices. We also develop two fundamental results that provide upper bounds for stable formation evolution under nonlinear perturbations of agent dynamics. Finally, we use an illustrative example to demonstrate our theoretical findings.

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BibTeXRIS

Gehlot, Vinod P., Balas, Mark J., Bandyopadhyay, Saptarshi. 2020-01-06. Dynamic Stability And Adaptive Control of Networked Evolving Formations with Weak Nonlinearities. https://ntrs.nasa.gov/citations/20220000795

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