no code implementations • 14 Mar 2024 • Aandrew Baggio S, Rachel Kalpana Kalaimani
Finally, we address the problem of maximizing the number of synchronized nodes when there are constraints on the number of nodes that could be pinned.
no code implementations • 14 Mar 2023 • Shamik Bhattacharyya, Rachel Kalpana Kalaimani
Then we propose our novel Resilient Dynamic Average Consensus (ResDAC) algorithm that ensures the trusted and ordinary agents achieve resilient DAC in the presence of adversarial agents.
no code implementations • 13 Sep 2022 • Vinaya Mary Prinse, Rachel Kalpana Kalaimani
This paper considers the design of a distributed state-observer for discrete-time Linear Time-Invariant (LTI) systems in the presence of sensor attacks.
no code implementations • 25 Sep 2021 • Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani
We study the problem of non-constrained, discrete-time, online distributed optimization in a multi-agent system where some of the agents do not follow the prescribed update rule either due to failures or malicious intentions.
no code implementations • 10 Apr 2021 • Shamik Bhattacharyya, Kiran Rokade, Rachel Kalpana Kalaimani
This paper addresses the problem of distributed estimation of an unknown dynamic parameter by a multi-agent system over a directed communication network in the presence of an adversarial attack on the agents' sensors.
no code implementations • 19 Feb 2020 • Kiran Rokade, Rachel Kalpana Kalaimani
We consider the problem of achieving average consensus among multiple agents, where the inter-agent communication network is depicted by a graph.