Abstract: Manifold Learning for Measurements across Several Sensors: Alternating Diffusion, Data Fusion and Constructing Nonlinear Observers for Complex Chemical Reaction Networks (2018 AIChE Annual Meeting)

David Sroczynski¹, Felix Dietrich², Mahdi Kooshkbaghi³, Seungjoon Lee² and Ioannis G. Kevrekidis², (1)Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, (2)Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, (3)Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ

See more of this Session: Complex and Networked Chemical and Biochemical Systems
See more of this Group/Topical: Computing and Systems Technology Division

536070 Manifold Learning for Measurements across Several Sensors: Alternating Diffusion, Data Fusion and Constructing Nonlinear Observers for Complex Chemical Reaction Networks