Functions of the Laplacian Matrix With Application to Distributed Formation Control
Fabio Morbidi · IEEE Transactions on Control of Network Systems · 2021
In this article, we study a class of matrix functions of the combinatorial Laplacian that preserve its structure, i.e., that define matrices, which are positive semidefinite and which have zero row-sum and nonpositive off-diagonal entries. This formulation has the merit of presenting different incarnations of the Laplacian matrix that have appeared in recent literature in a unified framework. For the first time, we apply this family of Laplacian functions to consensus theory, and we show that they leave the agreement value unchanged and offer distinctive advantages in terms of performance and design flexibility. The theory is illustrated via worked examples and numerical experiments featuring four representative Laplacian functions in a shape-based distributed formation control strategy for single-integrator robots.