40 citations · 55 across the 5 of their papers we have counts for
4 papers · 1 filter
Abstract homogeneous chains: a Lyapunov framework for high-order sliding modes in multi-agent systems
Rodrigo Aldana-López
This work develops a Lyapunov framework for a broad class of arbitrary-order sliding-mode algorithms in multi-agent systems. We introduce abstract homogeneous chains, a class of no…
Super-twisting over networks: A Lyapunov approach for distributed differentiation
Rodrigo Aldana-López, Irene Perez Salesa, David Gomez Gutierrez +2
We study distributed differentiation, where agents in a networked system estimate the average of local time-varying signals and their derivatives under mild assumptions on the agen…
Exact Leader Estimation: A New Approach for Distributed Differentiation
Rodrigo Aldana-Lopez, David Gomez-Gutierrez, Elio Usai +1
A novel strategy aimed at cooperatively differentiating a signal among multiple interacting agents is introduced, where none of the agents needs to know which agent is the leader,…
Optimal robust exact first-order differentiators with Lipschitz continuous output
Rodrigo Aldana-Lopez, Richard Seeber, Hernan Haimovich +1
The signal differentiation problem involves the development of algorithms that allow to recover a signal's derivatives from noisy measurements. This paper develops a first-order di…