On connectivity, observability, and stability in distributed estimation

• Published in: 49th IEEE Conference on Decision and Control (CDC) pp. 6639 - 6644
• Main Authors: Khan, U A, Kar, S, Jadbabaie, A, Moura, José M F
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2010
• Subjects: Artificial neural networks; DH-HEMTs; Eigenvalues and eigenfunctions; Estimation; Laplace equations; Observability; Technological innovation

We introduce a new model of social learning and distributed estimation in which the state to be estimated is governed by a potentially unstable linear model driven by noise. The state is observed by a network of agents, each with its own linear noisy observation models. We assume the state to be glo...